langchain

Commit Graph

Author	SHA1	Message	Date
Harutaka Kawamura	41ee3be95f	langchain[patch]: Support passing parameters to `llms.Databricks` and `llms.Mlflow` (#14100 ) Before, we need to use `params` to pass extra parameters: ```python from langchain.llms import Databricks Databricks(..., params={"temperature": 0.0}) ``` Now, we can directly specify extra params: ```python from langchain.llms import Databricks Databricks(..., temperature=0.0) ```	10 months ago
Abdul	82102c99b3	langchain[patch]: Running SQLDatabaseChain adds prefix "SQLQuery:\n" (#14058 ) - Issue: https://github.com/langchain-ai/langchain/issues/12077 --------- Co-authored-by: Abdul Kader Maliyakkal <maliyakk@amazon.com>	10 months ago
Samuel Kemp	fd781c89cc	langchain[minor]: add azure ai data document loader (#13404 ) This PR adds an "Azure AI data" document loader, which allows Azure AI users to load their registered data assets as a document object in langchain. --------- Co-authored-by: Bagatur <baskaryan@gmail.com>	10 months ago
James Braza	24385a00de	core[minor], langchain[patch], experimental[patch]: Added missing `py.typed` to `langchain_core` (#14143 ) See PR title. From what I can see, `poetry` will auto-include this. Please let me know if I am missing something here. --------- Co-authored-by: Bagatur <baskaryan@gmail.com>	10 months ago
quantum00549	f7c257553d	langchain[patch]: fixed a bug that was causing the streaming transfer to not work… (#10827 ) … properly Fixed a bug that was causing the streaming transfer to not work properly. - Description: 1、The on_llm_new_token method in the streaming callback can now be called properly in streaming transfer mode. 2、In streaming transfer mode, LLM can now correctly output the complete response instead of just the first token. - Tag maintainer: @wangxuqi - **Twitter handle: @kGX7XJjuYxzX9Km --------- Co-authored-by: Bagatur <baskaryan@gmail.com>	10 months ago
Eugene Yurtsev	6d0209e0aa	Improve file system blob loader and generic loader (#14004 ) * Add support for passing a specific file to the file system blob loader * Allow specifying a class parameter for the parser for the generic loader ```python class AudioLoader(GenericLoader): @staticmethod def get_parser(kwargs): return MyAudioParser(kwargs): ``` The intent of the GenericLoader is to provide on-ramps from different sources (e.g., web, s3, file system). An alternative is to use pipelining syntax or creating a Pipeline ``` FileSystemBlobLoader(...) \| MyAudioParser ``` --------- Co-authored-by: Bagatur <baskaryan@gmail.com>	10 months ago
Lance Martin	cbe4753e1a	Update Open CLIP embd (#14155 ) Prior default model required a large amt of RAM and often crashed Jupyter ntbk kernel.	10 months ago
Amyh102	b6d26d3f9f	infra[patch]: Add unit tests for Huggingface dataset loader (#14053 ) - Description: Add unit tests for huggingface dataset loader and sample huggingface dataset for future tests. Updates dependencies for `datasets` module. - Adds coverage for [previous pull request](https://github.com/langchain-ai/langchain/pull/13864) - Tag maintainer: @hwchase17 --------- Co-authored-by: Amy Han <amyhan@Amys-Air.lan> Co-authored-by: Amy Han <amyhan@Amys-MacBook-Air.local> Co-authored-by: Bagatur <baskaryan@gmail.com>	10 months ago
Govinda Totla	62a3473ac0	docs[patch]: add text_splitter.py test (#14025 ) Description: Add HTMLHeaderTextSplitter unit test Dependencies: none	10 months ago
axiangcoding	1b36ddf16c	docs[patch]: add deprecated note for ErnieChatBot (#14061 ) - Description: just a little change of ErnieChatBot class description, sugguesting user to use more suitable class - Issue: none, - Dependencies: none, - Tag maintainer: @baskaryan , - Twitter handle: none	10 months ago
Devin Dahoon Kim	32da0a4d71	langchain[patch]: use async_embed_with_retry in _aget_len_safe_embeddings (#14110 ) Description `embed_with_retry` is for sync operations and not for async operations. Use `async_embed_with_retry` for appropriate async operations. I'm using `OpenAIEmbedding(http_client=httpx.AsyncClient())` with only async operations. However, I got an error when I use `embedding.aembed_documents` because `embed_with_retry` uses sync OpenAI client with async http client.	10 months ago
lijie	371bcb7580	langchain[patch]: set maxsplit when parse python function docstring (#14121 ) Description when the desc of arg in python docstring contains ":", the `_parse_python_function_docstring` will raise ValueError: too many values to unpack (expected 2). A sample desc would be: """ Args: error_arg: this is an arg with an additional ":" symbol """ So, set `maxsplit` parameter to fix it.	10 months ago
Harrison Chase	ae646701c4	Harrison/ibm (#14133 ) Co-authored-by: Mateusz Szewczyk <139469471+MateuszOssGit@users.noreply.github.com>	10 months ago
Eugene Yurtsev	943aa01c14	Improve indexing performance for Postgres (remote database) for refresh for async API (#14132 ) This PR speeds up the indexing api on the async path by batching the uid updates in the sql record manager (which may be remote).	10 months ago
William FH	528fc76d6a	Update Prompt Format Error (#14044 ) The number of times I try to format a string (especially in lcel) is embarrassingly high. Think this may be more actionable than the default error message. Now I get nice helpful errors ``` KeyError: "Input to ChatPromptTemplate is missing variable 'input'. Expected: ['input'] Received: ['dialogue']" ```	10 months ago
William FH	71c2e184b4	[Nits] Evaluation - Some Rendering Improvements (#14097 ) - Improve rendering of aggregate results at the end - flatten reference if present	10 months ago
Mark Scannell	9b0e46dcf0	Improve indexing performance for Postgres (remote database) for refresh (#14126 ) Description: By combining the document timestamp refresh within a single call to update(), this enables batching of multiple documents in a single SQL statement. This is important for non-local databases where tens of milliseconds has a huge impact on performance when doing document-by-document SQL statements. Issue: #11935 Dependencies: None Tag maintainer: @eyurtsev	10 months ago
Jacob Lee	3328507f11	langchain[patch], experimental[minor]: Adds OllamaFunctions wrapper (#13330 ) CC @baskaryan @hwchase17 @jmorganca Having a bit of trouble importing `langchain_experimental` from a notebook, will figure it out tomorrow ~Ah and also is blocked by #13226~ --------- Co-authored-by: Lance Martin <lance@langchain.dev> Co-authored-by: Bagatur <baskaryan@gmail.com>	10 months ago
Bagatur	4063bf144a	langchain[patch]: release 0.0.344 (#14095 )	10 months ago
Bagatur	efce352d6b	core[patch]: release 0.0.8 (#14086 )	10 months ago
Harutaka Kawamura	0d08a692a3	langchain[minor]: Migrate mlflow and databricks classes to deployments APIs. (#13699 ) ## Description Related to https://github.com/mlflow/mlflow/pull/10420. MLflow AI gateway will be deprecated and replaced by the `mlflow.deployments` module. Happy to split this PR if it's too large. ``` pip install git+https://github.com/langchain-ai/langchain.git@refs/pull/13699/merge#subdirectory=libs/langchain ``` ## Dependencies Install mlflow from https://github.com/mlflow/mlflow/pull/10420: ``` pip install git+https://github.com/mlflow/mlflow.git@refs/pull/10420/merge ``` ## Testing plan The following code works fine on local and databricks: <details><summary>Click</summary> <p> ```python """ Setup ----- mlflow deployments start-server --config-path examples/gateway/openai/config.yaml databricks secrets create-scope <scope> databricks secrets put-secret <scope> openai-api-key --string-value $OPENAI_API_KEY Run --- python /path/to/this/file.py secrets/<scope>/openai-api-key """ from langchain.chat_models import ChatMlflow, ChatDatabricks from langchain.embeddings import MlflowEmbeddings, DatabricksEmbeddings from langchain.llms import Databricks, Mlflow from langchain.schema.messages import HumanMessage from langchain.chains.loading import load_chain from mlflow.deployments import get_deploy_client import uuid import sys import tempfile from langchain.chains import LLMChain from langchain.prompts import PromptTemplate ############################### # MLflow ############################### chat = ChatMlflow( target_uri="http://127.0.0.1:5000", endpoint="chat", params={"temperature": 0.1} ) print(chat([HumanMessage(content="hello")])) embeddings = MlflowEmbeddings(target_uri="http://127.0.0.1:5000", endpoint="embeddings") print(embeddings.embed_query("hello")[:3]) print(embeddings.embed_documents(["hello", "world"])[0][:3]) llm = Mlflow( target_uri="http://127.0.0.1:5000", endpoint="completions", params={"temperature": 0.1}, ) print(llm("I am")) llm_chain = LLMChain( llm=llm, prompt=PromptTemplate( input_variables=["adjective"], template="Tell me a {adjective} joke", ), ) print(llm_chain.run(adjective="funny")) # serialization/deserialization with tempfile.TemporaryDirectory() as tmpdir: print(tmpdir) path = f"{tmpdir}/llm.yaml" llm_chain.save(path) loaded_chain = load_chain(path) print(loaded_chain("funny")) ############################### # Databricks ############################### secret = sys.argv[1] client = get_deploy_client("databricks") # External - chat name = f"chat-{uuid.uuid4()}" client.create_endpoint( name=name, config={ "served_entities": [ { "name": "test", "external_model": { "name": "gpt-4", "provider": "openai", "task": "llm/v1/chat", "openai_config": { "openai_api_key": "{{" + secret + "}}", }, }, } ], }, ) try: chat = ChatDatabricks( target_uri="databricks", endpoint=name, params={"temperature": 0.1} ) print(chat([HumanMessage(content="hello")])) finally: client.delete_endpoint(endpoint=name) # External - embeddings name = f"embeddings-{uuid.uuid4()}" client.create_endpoint( name=name, config={ "served_entities": [ { "name": "test", "external_model": { "name": "text-embedding-ada-002", "provider": "openai", "task": "llm/v1/embeddings", "openai_config": { "openai_api_key": "{{" + secret + "}}", }, }, } ], }, ) try: embeddings = DatabricksEmbeddings(target_uri="databricks", endpoint=name) print(embeddings.embed_query("hello")[:3]) print(embeddings.embed_documents(["hello", "world"])[0][:3]) finally: client.delete_endpoint(endpoint=name) # External - completions name = f"completions-{uuid.uuid4()}" client.create_endpoint( name=name, config={ "served_entities": [ { "name": "test", "external_model": { "name": "gpt-3.5-turbo-instruct", "provider": "openai", "task": "llm/v1/completions", "openai_config": { "openai_api_key": "{{" + secret + "}}", }, }, } ], }, ) try: llm = Databricks( endpoint_name=name, model_kwargs={"temperature": 0.1}, ) print(llm("I am")) finally: client.delete_endpoint(endpoint=name) # Foundation model - chat chat = ChatDatabricks( endpoint="databricks-llama-2-70b-chat", params={"temperature": 0.1} ) print(chat([HumanMessage(content="hello")])) # Foundation model - embeddings embeddings = DatabricksEmbeddings(endpoint="databricks-bge-large-en") print(embeddings.embed_query("hello")[:3]) # Foundation model - completions llm = Databricks( endpoint_name="databricks-mpt-7b-instruct", model_kwargs={"temperature": 0.1} ) print(llm("hello")) llm_chain = LLMChain( llm=llm, prompt=PromptTemplate( input_variables=["adjective"], template="Tell me a {adjective} joke", ), ) print(llm_chain.run(adjective="funny")) # serialization/deserialization with tempfile.TemporaryDirectory() as tmpdir: print(tmpdir) path = f"{tmpdir}/llm.yaml" llm_chain.save(path) loaded_chain = load_chain(path) print(loaded_chain("funny")) ``` Output: ``` content='Hello! How can I assist you today?' [-0.025058426, -0.01938856, -0.027781019] [-0.025058426, -0.01938856, -0.027781019] sorry, but I cannot continue the sentence as it is incomplete. Can you please provide more information or context? Sure, here's a classic one for you: Why don't scientists trust atoms? Because they make up everything! /var/folders/dz/cd_nvlf14g9g__n3ph0d_0pm0000gp/T/tmpx_4no6ad {'adjective': 'funny', 'text': "Sure, here's a classic one for you:\n\nWhy don't scientists trust atoms?\n\nBecause they make up everything!"} content='Hello! How can I assist you today?' [-0.025058426, -0.01938856, -0.027781019] [-0.025058426, -0.01938856, -0.027781019] a 23 year old female and I am currently studying for my master's degree content="\nHello! It's nice to meet you. Is there something I can help you with or would you like to chat for a bit?" [0.051055908203125, 0.007221221923828125, 0.003879547119140625] [0.051055908203125, 0.007221221923828125, 0.003879547119140625] hello back Well, I don't really know many jokes, but I do know this funny story... /var/folders/dz/cd_nvlf14g9g__n3ph0d_0pm0000gp/T/tmp7_ds72ex {'adjective': 'funny', 'text': " Well, I don't really know many jokes, but I do know this funny story..."} ``` </p> </details> The existing workflow doesn't break: <details><summary>click</summary> <p> ```python import uuid import mlflow from mlflow.models import ModelSignature from mlflow.types.schema import ColSpec, Schema class MyModel(mlflow.pyfunc.PythonModel): def predict(self, context, model_input): return str(uuid.uuid4()) with mlflow.start_run(): mlflow.pyfunc.log_model( "model", python_model=MyModel(), pip_requirements=["mlflow==2.8.1", "cloudpickle<3"], signature=ModelSignature( inputs=Schema( [ ColSpec("string", "prompt"), ColSpec("string", "stop"), ] ), outputs=Schema( [ ColSpec(name=None, type="string"), ] ), ), registered_model_name=f"lang-{uuid.uuid4()}", ) # Manually create a serving endpoint with the registered model and run from langchain.llms import Databricks llm = Databricks(endpoint_name="<name>") llm("hello") # 9d0b2491-3d13-487c-bc02-1287f06ecae7 ``` </p> </details> ## Follow-up tasks (This PR is too large. I'll file a separate one for follow-up tasks.) - Update `docs/docs/integrations/providers/mlflow_ai_gateway.mdx` and `docs/docs/integrations/providers/databricks.md`. --------- Signed-off-by: harupy <17039389+harupy@users.noreply.github.com> Co-authored-by: Bagatur <baskaryan@gmail.com>	10 months ago
Jeremy Naccache	a14cf87576	core[patch]: Add kwargs to Langchain's dumps() to allow passing of json.dumps() … (#10628 ) …parameters. In Langchain's `dumps()` function, I've added a `kwargs` parameter. This allows users to pass additional parameters to the underlying `json.dumps()` function, providing greater flexibility and control over JSON serialization. Many parameters available in `json.dumps()` can be useful or even necessary in specific situations. For example, when using an Agent with return_intermediate_steps set to true, the output is a list of AgentAction objects. These objects can't be serialized without using Langchain's `dumps()` function. The issue arises when using the Agent with a language other than English, which may contain non-ASCII characters like 'é'. The default behavior of `json.dumps()` sets ensure_ascii to true, converting `{"name": "José"}` into `{"name": "Jos\u00e9"}`. This can make the output hard to read, especially in the case of intermediate steps in agent logs. By allowing users to pass additional parameters to `json.dumps()` via Langchain's dumps(), we can solve this problem. For instance, users can set `ensure_ascii=False` to maintain the original characters. This update also enables users to pass other useful `json.dumps()` parameters like `sort_keys`, providing even more flexibility. The implementation takes into account edge cases where a user might pass a "default" parameter, which is already defined by `dumps()`, or an "indent" parameter, which is also predefined if `pretty=True` is set. --------- Co-authored-by: Erick Friis <erick@langchain.dev>	10 months ago
Yong woo Song	f4d520ccb5	Fix .env file path in integration_test README.md (#14028 ) <!-- Thank you for contributing to LangChain! Replace this entire comment with: - Description: a description of the change, - Issue: the issue # it fixes (if applicable), - Dependencies: any dependencies required for this change, - Tag maintainer: for a quicker response, tag the relevant maintainer (see below), - Twitter handle: we announce bigger features on Twitter. If your PR gets announced, and you'd like a mention, we'll gladly shout you out! Please make sure your PR is passing linting and testing before submitting. Run `make format`, `make lint` and `make test` to check this locally. See contribution guidelines for more information on how to write/run tests, lint, etc: https://github.com/langchain-ai/langchain/blob/master/.github/CONTRIBUTING.md If you're adding a new integration, please include: 1. a test for the integration, preferably unit tests that do not rely on network access, 2. an example notebook showing its use. It lives in `docs/extras` directory. If no one reviews your PR within a few days, please @-mention one of @baskaryan, @eyurtsev, @hwchase17. --> ### Description Hello, The [integration_test README](https://github.com/langchain-ai/langchain/tree/master/libs/langchain/tests) was indicating incorrect paths for the `.env.example` and `.env` files. `tests/.env.example` ->`tests/integration_tests/.env.example` While it’s a minor error, it could potentially lead to confusion for the document’s readers, so I’ve made the necessary corrections. Thank you! ☺️ ### Related Issue - https://github.com/langchain-ai/langchain/pull/2806	10 months ago
Rohan Dey	41a4c06a94	Added support for a Pandas DataFrame OutputParser (#13257 ) Description: Added support for a Pandas DataFrame OutputParser with format instructions, along with unit tests and a demo notebook. Namely, we've added the ability to request data from a DataFrame, have the LLM parse the request, and then use that request to retrieve a well-formatted response. Within LangChain, it seamlessly integrates with language models like OpenAI's `text-davinci-003`, facilitating streamlined interaction using the format instructions (just like the other output parsers). This parser structures its requests as `<operation/column/row>[<optional_array_params>]`. The instructions detail permissible operations, valid columns, and array formats, ensuring clarity and adherence to the required format. For example: - When the LLM receives the input: "Retrieve the mean of `num_legs` from rows 1 to 3." - The provided format instructions guide the LLM to structure the request as: "mean:num_legs[1..3]". The parser processes this formatted request, leveraging the LLM's understanding to extract the mean of `num_legs` from rows 1 to 3 within the Pandas DataFrame. This integration allows users to communicate requests naturally, with the LLM transforming these instructions into structured commands understood by the `PandasDataFrameOutputParser`. The format instructions act as a bridge between natural language queries and precise DataFrame operations, optimizing communication and data retrieval. Issue: - https://github.com/langchain-ai/langchain/issues/11532 Dependencies: No additional dependencies :) Tag maintainer: @baskaryan Twitter handle: No need. :) --------- Co-authored-by: Wasee Alam <waseealam@protonmail.com> Co-authored-by: Harrison Chase <hw.chase.17@gmail.com>	10 months ago
Masanori Taniguchi	235bdb9fa7	Support Vald secure connection (#13269 ) Description: When using Vald, only insecure grpc connection was supported, so secure connection is now supported. In addition, grpc metadata can be added to Vald requests to enable authentication with a token. <!-- Thank you for contributing to LangChain! Replace this entire comment with: - Description: a description of the change, - Issue: the issue # it fixes (if applicable), - Dependencies: any dependencies required for this change, - Tag maintainer: for a quicker response, tag the relevant maintainer (see below), - Twitter handle: we announce bigger features on Twitter. If your PR gets announced, and you'd like a mention, we'll gladly shout you out! Please make sure your PR is passing linting and testing before submitting. Run `make format`, `make lint` and `make test` to check this locally. See contribution guidelines for more information on how to write/run tests, lint, etc: https://github.com/langchain-ai/langchain/blob/master/.github/CONTRIBUTING.md If you're adding a new integration, please include: 1. a test for the integration, preferably unit tests that do not rely on network access, 2. an example notebook showing its use. It lives in `docs/extras` directory. If no one reviews your PR within a few days, please @-mention one of @baskaryan, @eyurtsev, @hwchase17. -->	10 months ago
sudranga	d1d693b2a7	Fix issue where response_if_no_docs_found is not implemented on async… (#13297 ) Response_if_no_docs_found is not implemented in ConversationalRetrievalChain for async code paths. Implemented it and added test cases Co-authored-by: Harrison Chase <hw.chase.17@gmail.com>	10 months ago
AthulVincent	67c55cb5b0	Implemented MongoDB Atlas Self-Query Retriever (#13321 ) # Description This PR implements Self-Query Retriever for MongoDB Atlas vector store. I've implemented the comparators and operators that are supported by MongoDB Atlas vector store according to the section titled "Atlas Vector Search Pre-Filter" from https://www.mongodb.com/docs/atlas/atlas-vector-search/vector-search-stage/. Namely: ``` allowed_comparators = [ Comparator.EQ, Comparator.NE, Comparator.GT, Comparator.GTE, Comparator.LT, Comparator.LTE, Comparator.IN, Comparator.NIN, ] """Subset of allowed logical operators.""" allowed_operators = [ Operator.AND, Operator.OR ] ``` Translations from comparators/operators to MongoDB Atlas filter operators(you can find the syntax in the "Atlas Vector Search Pre-Filter" section from the previous link) are done using the following dictionary: ``` map_dict = { Operator.AND: "$and", Operator.OR: "$or", Comparator.EQ: "$eq", Comparator.NE: "$ne", Comparator.GTE: "$gte", Comparator.LTE: "$lte", Comparator.LT: "$lt", Comparator.GT: "$gt", Comparator.IN: "$in", Comparator.NIN: "$nin", } ``` In visit_structured_query() the filters are passed as "pre_filter" and not "filter" as in the MongoDB link above since langchain's implementation of MongoDB atlas vector store(libs\langchain\langchain\vectorstores\mongodb_atlas.py) in _similarity_search_with_score() sets the "filter" key to have the value of the "pre_filter" argument. ``` params["filter"] = pre_filter ``` Test cases and documentation have also been added. # Issue #11616 # Dependencies No new dependencies have been added. # Documentation I have created the notebook mongodb_atlas_self_query.ipynb outlining the steps to get the self-query mechanism working. I worked closely with [@Farhan-Faisal](https://github.com/Farhan-Faisal) on this PR. --------- Co-authored-by: Bagatur <baskaryan@gmail.com>	10 months ago
Josef Zoller	c2e3963da4	Merriam-Webster Dictionary Tool (#12044 ) # Description We implemented a simple tool for accessing the Merriam-Webster Collegiate Dictionary API (https://dictionaryapi.com/products/api-collegiate-dictionary). Here's a simple usage example: ```py from langchain.llms import OpenAI from langchain.agents import load_tools, initialize_agent, AgentType llm = OpenAI() tools = load_tools(["serpapi", "merriam-webster"], llm=llm) # Serp API gives our agent access to Google agent = initialize_agent( tools, llm, agent=AgentType.ZERO_SHOT_REACT_DESCRIPTION, verbose=True ) agent.run("What is the english word for the german word Himbeere? Define that word.") ``` Sample output: ``` > Entering new AgentExecutor chain... I need to find the english word for Himbeere and then get the definition of that word. Action: Search Action Input: "English word for Himbeere" Observation: {'type': 'translation_result'} Thought: Now I have the english word, I can look up the definition. Action: MerriamWebster Action Input: raspberry Observation: Definitions of 'raspberry': 1. rasp-ber-ry, noun: any of various usually black or red edible berries that are aggregate fruits consisting of numerous small drupes on a fleshy receptacle and that are usually rounder and smaller than the closely related blackberries 2. rasp-ber-ry, noun: a perennial plant (genus Rubus) of the rose family that bears raspberries 3. rasp-ber-ry, noun: a sound of contempt made by protruding the tongue between the lips and expelling air forcibly to produce a vibration; broadly : an expression of disapproval or contempt 4. black raspberry, noun: a raspberry (Rubus occidentalis) of eastern North America that has a purplish-black fruit and is the source of several cultivated varieties —called also blackcap Thought: I now know the final answer. Final Answer: Raspberry is an english word for Himbeere and it is defined as any of various usually black or red edible berries that are aggregate fruits consisting of numerous small drupes on a fleshy receptacle and that are usually rounder and smaller than the closely related blackberries. > Finished chain. ``` # Issue This closes #12039. # Dependencies We added no extra dependencies. <!-- Thank you for contributing to LangChain! Replace this entire comment with: - Description: a description of the change, - Issue: the issue # it fixes (if applicable), - Dependencies: any dependencies required for this change, - Tag maintainer: for a quicker response, tag the relevant maintainer (see below), - Twitter handle: we announce bigger features on Twitter. If your PR gets announced, and you'd like a mention, we'll gladly shout you out! Please make sure your PR is passing linting and testing before submitting. Run `make format`, `make lint` and `make test` to check this locally. See contribution guidelines for more information on how to write/run tests, lint, etc: https://github.com/langchain-ai/langchain/blob/master/.github/CONTRIBUTING.md If you're adding a new integration, please include: 1. a test for the integration, preferably unit tests that do not rely on network access, 2. an example notebook showing its use. It lives in `docs/extras` directory. If no one reviews your PR within a few days, please @-mention one of @baskaryan, @eyurtsev, @hwchase17. --> --------- Co-authored-by: Lara <63805048+larkgz@users.noreply.github.com> Co-authored-by: Harrison Chase <hw.chase.17@gmail.com>	10 months ago
Mohammad Mohtashim	f3dd4a10cf	DROP BOX Loader Documentation Update (#14047 ) - Description: Update the document for drop box loader + made the messages more verbose when loading pdf file since people were getting confused - Issue: #13952 - Tag maintainer: @baskaryan, @eyurtsev, @hwchase17, --------- Co-authored-by: Erick Friis <erick@langchain.dev>	10 months ago
Cheng (William) Huang	a00db4b28f	Add multi-input Reddit search tool (#13893 ) - Description: Added a tool called RedditSearchRun and an accompanying API wrapper, which searches Reddit for posts with support for time filtering, post sorting, query string and subreddit filtering. - Issue: #13891 - Dependencies: `praw` module is used to search Reddit - Tag maintainer: @baskaryan , and any of the other maintainers if needed - Twitter handle: None. Hello, This is our first PR and we hope that our changes will be helpful to the community. We have run `make format`, `make lint` and `make test` locally before submitting the PR. To our knowledge, our changes do not introduce any new errors. Our PR integrates the `praw` package which is already used by RedditPostsLoader in LangChain. Nonetheless, we have added integration tests and edited unit tests to test our changes. An example notebook is also provided. These changes were put together by me, @Anika2000, @CharlesXu123, and @Jeremy-Cheng-stack Thank you in advance to the maintainers for their time. --------- Co-authored-by: What-Is-A-Username <49571870+What-Is-A-Username@users.noreply.github.com> Co-authored-by: Anika2000 <anika.sultana@mail.utoronto.ca> Co-authored-by: Jeremy Cheng <81793294+Jeremy-Cheng-stack@users.noreply.github.com> Co-authored-by: Harrison Chase <hw.chase.17@gmail.com>	10 months ago
Jawad Arshad	00a6e8962c	langchain[minor]: Add serpapi tools (#13934 ) - Description: Added some of the more endpoints supported by serpapi that are not suported on langchain at the moment, like google trends, google finance, google jobs, and google lens - Issue: [Add support for many of the querying endpoints with serpapi #11811](https://github.com/langchain-ai/langchain/issues/11811) --------- Co-authored-by: zushenglu <58179949+zushenglu@users.noreply.github.com> Co-authored-by: Erick Friis <erick@langchain.dev> Co-authored-by: Ian Xu <ian.xu@mail.utoronto.ca> Co-authored-by: zushenglu <zushenglu1809@gmail.com> Co-authored-by: KevinT928 <96837880+KevinT928@users.noreply.github.com> Co-authored-by: Bagatur <baskaryan@gmail.com>	10 months ago
h3l	dbaeb163aa	langchain[minor]: add volcengine endpoint as LLM (#13942 ) - Description: Volc Engine MaaS serves as an enterprise-grade, large-model service platform designed for developers. You can visit its homepage at https://www.volcengine.com/docs/82379/1099455 for details. This change will facilitate developers to integrate quickly with the platform. - Issue: None - Dependencies: volcengine - Tag maintainer: @baskaryan - Twitter handle: @he1v3tica --------- Co-authored-by: lvzhong <lvzhong@bytedance.com>	10 months ago
Mohammad Ahmad	1600ebe6c7	langchain[patch]: Mask API key for ForeFrontAI LLM (#14013 ) - Description: Mask API key for ForeFrontAI LLM and associated unit tests - Issue: https://github.com/langchain-ai/langchain/issues/12165 - Dependencies: N/A - Tag maintainer: @eyurtsev - Twitter handle: `__mmahmad__` I made the API key non-optional since linting required adding validation for None, but the key is required per documentation: https://python.langchain.com/docs/integrations/llms/forefrontai	10 months ago
yoch	a0e859df51	langchain[patch]: fix cohere reranker init #12899 (#14029 ) - Description: use post field validation for `CohereRerank` - Issue: #12899 and #13058 - Dependencies: - Tag maintainer: @baskaryan --------- Co-authored-by: Bagatur <baskaryan@gmail.com>	10 months ago
123-fake-st	9bd6e9df36	update pdf document loaders' metadata source to url for online pdf (#13274 ) - Description: Update 5 pdf document loaders in `langchain.document_loaders.pdf`, to store a url in the metadata (instead of a temporary, local file path) if the user provides a web path to a pdf: `PyPDFium2Loader`, `PDFMinerLoader`, `PDFMinerPDFasHTMLLoader`, `PyMuPDFLoader`, and `PDFPlumberLoader` were updated. - The updates follow the approach used to update `PyPDFLoader` for the same behavior in #12092 - The `PyMuPDFLoader` changes required additional work in updating `langchain.document_loaders.parsers.pdf.PyMuPDFParser` to be able to process either an `io.BufferedReader` (from local pdf) or `io.BytesIO` (from online pdf) - The `PDFMinerPDFasHTMLLoader` change used a simpler approach since the metadata is assigned by the loader and not the parser - Issue: Fixes #7034 - Dependencies: None ```python # PyPDFium2Loader example: # old behavior >>> from langchain.document_loaders import PyPDFium2Loader >>> loader = PyPDFium2Loader('https://arxiv.org/pdf/1706.03762.pdf') >>> docs = loader.load() >>> docs[0].metadata {'source': '/var/folders/7z/d5dt407n673drh1f5cm8spj40000gn/T/tmpm5oqa92f/tmp.pdf', 'page': 0} # new behavior >>> from langchain.document_loaders import PyPDFium2Loader >>> loader = PyPDFium2Loader('https://arxiv.org/pdf/1706.03762.pdf') >>> docs = loader.load() >>> docs[0].metadata {'source': 'https://arxiv.org/pdf/1706.03762.pdf', 'page': 0} ```	10 months ago
Toshish Jawale	6f64cb5078	Remove deprecated param and flexibility for prompt (#13310 ) - Description: Updated to remove deprecated parameter penalty_alpha, and use string variation of prompt rather than json object for better flexibility. - Issue: the issue # it fixes (if applicable), - Dependencies: N/A - Tag maintainer: @eyurtsev - Twitter handle: @symbldotai --------- Co-authored-by: toshishjawale <toshish@symbl.ai> Co-authored-by: Harrison Chase <hw.chase.17@gmail.com>	10 months ago
Tomaz Bratanic	3eb391561b	langchain[minor]: Reduce the number of tokens required to describe a Cypher/Neo4j schema (#13851 ) Instead of using JSON-like syntax to describe node and relationship properties we changed to a shorter and more concise schema description Old: ``` Node properties are the following: [{'properties': [{'property': 'name', 'type': 'STRING'}], 'labels': 'Movie'}, {'properties': [{'property': 'name', 'type': 'STRING'}], 'labels': 'Actor'}] Relationship properties are the following: [] The relationships are the following: ['(:Actor)-[:ACTED_IN]->(:Movie)'] ``` New: ``` Node properties are the following: Movie {name: STRING},Actor {name: STRING} Relationship properties are the following: The relationships are the following: (:Actor)-[:ACTED_IN]->(:Movie) ```	10 months ago
Sauhaard	7ec4dbeb80	langchain[minor]: Add StackExchange API integration (#14002 ) Implements [#12115](https://github.com/langchain-ai/langchain/issues/12115) Who can review? @baskaryan , @eyurtsev , @hwchase17 Integrated Stack Exchange API into Langchain, enabling access to diverse communities within the platform. This addition enhances Langchain's capabilities by allowing users to query Stack Exchange for specialized information and engage in discussions. The integration provides seamless interaction with Stack Exchange content, offering content from varied knowledge repositories. A notebook example and test cases were included to demonstrate the functionality and reliability of this integration. - Add StackExchange as a tool. - Add unit test for the StackExchange wrapper and tool. - Add documentation for the StackExchange wrapper and tool. If you have time, could you please review the code and provide any feedback as necessary! My team is welcome to any suggestions. --------- Co-authored-by: Yuval Kamani <yuvalkamani@gmail.com> Co-authored-by: Aryan Thakur <aryanthakur@Aryans-MacBook-Pro.local> Co-authored-by: Manas1818 <79381912+manas1818@users.noreply.github.com> Co-authored-by: aryan-thakur <61063777+aryan-thakur@users.noreply.github.com> Co-authored-by: Bagatur <baskaryan@gmail.com>	10 months ago
Bagatur	d4405bc94e	langchain[patch]: Release 0.0.343 (#14037 )	10 months ago
Yves Zumbühl	9c0ad0cebb	langchain[patch]: Improve HyDe with custom prompts and ability to supply the run_manager (#14016 ) - Description: The class allows to only select between a few predefined prompts from the paper. That is not ideal, since other use cases might need a custom prompt. The changes made allow for this. To be able to monitor those, I also added functionality to supply a custom run_manager. - Issue: no issue, but a new feature, - Dependencies: none, - Tag maintainer: @hwchase17, - Twitter handle: @yvesloy --------- Co-authored-by: Bagatur <baskaryan@gmail.com>	10 months ago
Chad Norvell	1c4bfb8c5f	langchain[patch]: Mathpix PDF loader supports arbitrary extra params (#13950 ) - Description: Support providing whatever extra parameters you want to the Mathpix PDF loader API request. - Issue: #12773 - Dependencies: None --------- Co-authored-by: Bagatur <baskaryan@gmail.com>	10 months ago
Unai Garay Maestre	9e2ae866c4	langchain[patch]: Adds progress bar to GooglePalmEmbeddings (#13812 ) - Description: Adds a tqdm progress bar to GooglePalmEmbeddings when embedding a list. - Issue: #13637 - Dependencies: TQDM as a main dependency (instead of extra) Signed-off-by: ugm2 <unaigaraymaestre@gmail.com> --------- Signed-off-by: ugm2 <unaigaraymaestre@gmail.com> Co-authored-by: Harrison Chase <hw.chase.17@gmail.com>	10 months ago
David Norman	a578076aea	Mask api key for Together LLM (#13981 ) - Description: Add unit tests and mask api key for Together LLM - Issue: the issue https://github.com/langchain-ai/langchain/issues/12165 , - Dependencies: N/A - Tag maintainer: ?, - Twitter handle: N/A --------- Co-authored-by: Eugene Yurtsev <eyurtsev@gmail.com>	10 months ago
Johnny	6463d2d0bd	small fix matching engine AttributeError - object has no attribute (#13763 ) This PR is fixing an attributeError: object endpoint has no attribute "_public_match_client" when using gcp matching engine with private VPC network. @baskaryan, @eyurtsev, @hwchase17. --------- Co-authored-by: Harrison Chase <hw.chase.17@gmail.com>	10 months ago
Amyh102	750485eaa8	Add object parsing functionality (#13864 ) * Description: Parses huggingface dataset Sequence objects into strings for Document loading. * Issue: Fixes #10674 * Tag maintainter: @baskaryan @eyurtsev --------- Co-authored-by: Amy Han <amyhan@Amys-Air.lan> Co-authored-by: Amy Han <amyhan@Amys-MacBook-Air.local>	10 months ago
ggeutzzang	981f78f920	Fix: (issue #13825 ) Getting an error with DallEAPIWrapper (#13874 ) - Description: As of OpenAI's Python package 1.0, the existing DallEAPIWrapper does not work correctly, so the example in the LangChain Documentation link below does not work either. https://python.langchain.com/docs/integrations/tools/dalle_image_generator Also, since OpenAI only supports DALL-E version 2 or version 3, I modified the DallEAPIWrapper to support it. - Issue: #13825 - Twitter handle: ggeutzzang	10 months ago
Kunal	74045bf5c0	max length attribute for spacy splitter for large docs (#13875 ) For large size documents spacy splitter doesn't work it throws an error as shown in below screenshot. Reason its default max_length is 1000000 and there is no option to increase it. So i added it in this PR. ![image](https://github.com/langchain-ai/langchain/assets/73680423/613625c3-0e21-4834-9aad-2a73cf56eecc) --------- Co-authored-by: Bagatur <baskaryan@gmail.com>	10 months ago
Wang Wei	fe9341a29c	feat: Add ERNIE-Bot-8K model support for ErnieBotChat. (#13716 ) - Description: According to the document https://cloud.baidu.com/doc/WENXINWORKSHOP/s/6lp69is2a, add ERNIE-Bot-8K model support for ErnieBotChat. - Dependencies: Before using the ERNIE-Bot-8K, you should have the model's access authority.	10 months ago
Burak Ömür	0e462b72ef	Update openai/create_llm_result function to consider kwargs (#13815 ) Replace this entire comment with: - Description: updates `create_llm_result` function within `openai.py` to consider latest `params`, - Issue: #8928 - Dependencies: -, - Tag maintainer: - - Twitter handle: [burkomr](https://twitter.com/burkomr) <!-- If no one reviews your PR within a few days, please @-mention one of @baskaryan, @eyurtsev, @hwchase17. --> --------- Co-authored-by: Burak Ömür <burakomur@retorio.com> Co-authored-by: Harrison Chase <hw.chase.17@gmail.com>	10 months ago
chyroc	f97ab84c6b	Merge pull request #13907 * feat: mask api_key for jina	10 months ago
nhywieza	9b86fb3fcb	secretStr for baichuan chat model api key (#13946 ) Merge pull request #13946 * secretStr for baichuan chat model api key	10 months ago
卢靖轩	aff1dba252	Merge pull request #13945 * feat: mask api key for nlpcloud	10 months ago
Leonid Kuligin	85bb3a418c	Switched VertexAI models from preview (#13657 ) Replace this entire comment with: - Description: VertexAI models are now GA, moved away from using preview ones from the SDK - Issue: #13606 --------- Co-authored-by: Nuno Campos <nuno@boringbits.io>	10 months ago
Erick Friis	5eca1bd93f	Library Licenses (#13300 ) Same change as #8403 but in other libs also updates (c) LangChain Inc. instead of @hwchase17	10 months ago
Bagatur	14799b139a	infra[patch]: add base deps and fix docs lint (#13998 )	10 months ago
Théo LEBRUN	926d4cfda7	Set default region from boto3 session for Bedrock (#13694 ) - Description: Set default region from boto3 session for Bedrock - Issue: #13683	10 months ago
Snow	1a33e5b500	Repair Wikipedia document loader `load_max_docs` and improve test coverage. (#13769 ) Description: Repair Wikipedia document loader `load_max_docs` and improve test coverage. Issue: The Wikipedia document loader was not respecting the `load_max_docs` paramater (not reported) and would always return a maximum of 10 documents. This is because the API wrapper (in `utilities/wikipedia.py`) wasn't passing `top_k_results` to the underlying [Wikipedia library](https://wikipedia.readthedocs.io/en/latest/code.html#module-wikipedia). By default this library returns 10 results. The default number of results for the document loader has been reduced from 100 to 25. This is because loading 100 results takes a very long time and is an inconvenient default. It should possibly be 10. In addition, the documentation for the loader reported that there was a hard limit (300) on the number of documents returned. In actuality 300 is the maximum Wikipedia query character length set by the API wrapper. Tests have been added for the document loader (previously missing) and to test the correct numbers of documents are being returned by each class, both by default, and when overridden. Also repaired is the `assert_docs` test which has been updated to correctly test for the default metadata (which includes `source` in recent releases). Dependencies: nil Tag maintainer: @leo-gan Twitter handle: @queenvictoria	10 months ago
Bob Lin	04c4878306	Remove `python_repl` from _BASE_TOOLS (#13962 ) ### Description: Previously `python_repl` was a built-in tool, but now it has been moved to `langchain_experimental`. When I use `load_tools` I get an error: ```python In [1]: from langchain.agents import load_tools In [2]: load_tools(["python_repl"]) --------------------------------------------------------------------------- ImportError Traceback (most recent call last) Cell In[2], line 1 ----> 1 load_tools(["python_repl"]) File ~/workspace/langchain/libs/langchain/langchain/agents/load_tools.py:530, in load_tools(tool_names, llm, callbacks, kwargs) 528 tool_names.extend(requests_method_tools) 529 elif name in _BASE_TOOLS: --> 530 tools.append(_BASE_TOOLS[name]()) 531 elif name in _LLM_TOOLS: 532 if llm is None: File ~/workspace/langchain/libs/langchain/langchain/agents/load_tools.py:84, in _get_python_repl() 83 def _get_python_repl() -> BaseTool: ---> 84 raise ImportError( 85 "This tool has been moved to langchain experiment. " 86 "This tool has access to a python REPL. " 87 "For best practices make sure to sandbox this tool. " 88 "Read https://github.com/langchain-ai/langchain/blob/master/SECURITY.md " 89 "To keep using this code as is, install langchain experimental and " 90 "update relevant imports replacing 'langchain' with 'langchain_experimental'" 91 ) ImportError: This tool has been moved to langchain experiment. This tool has access to a python REPL. For best practices make sure to sandbox this tool. Read https://github.com/langchain-ai/langchain/blob/master/SECURITY.md To keep using this code as is, install langchain experimental and update relevant imports replacing 'langchain' with 'langchain_experimental' ``` In this case, it will be very confusing. I think it is no longer a built-in tool now, so it can be removed from `_BASE_TOOLS` ### Issue: https://github.com/langchain-ai/langchain/issues/13858, https://github.com/langchain-ai/langchain/issues/13859, https://github.com/langchain-ai/langchain/issues/13856 ### Twitter handle:** [lin_bob57617](https://twitter.com/lin_bob57617)	10 months ago
Leonid Ganeline	52eee458bb	renamed `google_vertex_ai_vector_search` notebook (#13484 ) The `integrations/vectorstores/matchingengine.ipynb` example has the "Google Vertex AI Vector Search" title. This place this Title in the wrong order in the ToC (it is sorted by the file name). - Renamed `integrations/vectorstores/matchingengine.ipynb` into `integrations/vectorstores/google_vertex_ai_vector_search.ipynb`. - Updated a correspondent comment in docstring - Rerouted old URL to a new URL --------- Co-authored-by: Erick Friis <erick@langchain.dev>	10 months ago
Leonid Ganeline	bf5787f58b	experimental[patch]: fixed namespace bug (#13585 ) It was : `from langchain.schema.prompts import BasePromptTemplate` but because of the breaking change in the ns, it is now `from langchain.schema.prompt_template import BasePromptTemplate` This bug prevents building the API Reference for the langchain_experimental	10 months ago
Taqi Jaffri	144710ad9a	langchain[minor]: Updated DocugamiLoader, includes breaking changes (#13265 ) There are the following main changes in this PR: 1. Rewrite of the DocugamiLoader to not do any XML parsing of the DGML format internally, and instead use the `dgml-utils` library we are separately working on. This is a very lightweight dependency. 2. Added MMR search type as an option to multi-vector retriever, similar to other retrievers. MMR is especially useful when using Docugami for RAG since we deal with large sets of documents within which a few might be duplicates and straight similarity based search doesn't give great results in many cases. We are @docugami on twitter, and I am @tjaffri --------- Co-authored-by: Taqi Jaffri <tjaffri@docugami.com>	10 months ago
Bagatur	a20e8f8bb0	experimental[patch]: release 0.0.43 (#13570 )	10 months ago
Bagatur	d8fe987ef5	langchain[patch]: release 0.0.342 (#13992 )	10 months ago
david qiu	9fb6805be4	langchain[minor]: Add retriever for Knowledge Bases for Amazon Bedrock (#13980 ) - Description: Adds a retriever implementation for [Knowledge Bases for Amazon Bedrock](https://aws.amazon.com/bedrock/knowledge-bases/), a new service announced at AWS re:Invent, shortly before this PR was opened. This depends on the `bedrock-agent-runtime` service, which will be included in a future version of `boto3` and of `botocore`. We will open a follow-up PR documenting the minimum required versions of `boto3` and `botocore` after that information is available. - Issue: N/A - Dependencies: `boto3>=1.33.2, botocore>=1.33.2` - Tag maintainer: @baskaryan - Twitter handles: `@pjain7` `@dead_letter_q` This PR includes a documentation notebook under `docs/docs/integrations/retrievers`, which I (@dlqqq) have verified independently. EDIT: `bedrock-agent-runtime` service is now included in `boto3>=1.33.2`: `5cf793f493` --------- Co-authored-by: Piyush Jain <piyushjain@duck.com> Co-authored-by: Erick Friis <erick@langchain.dev> Co-authored-by: Bagatur <baskaryan@gmail.com>	10 months ago
Bagatur	1aed2d1f08	core[patch]: release 0.0.7 (#13989 )	10 months ago
David Duong	eb67f07e32	Track RunnableAssign as a separate run trace (#13972 ) Addressing incorrect order being sent to callbacks / tracers, due to the nature of threading --------- Co-authored-by: Nuno Campos <nuno@boringbits.io>	10 months ago
Nuno Campos	0f255bb6c4	In Runnable.stream_log build up final_output from adding output chunks (#12781 ) Add arg to omit streamed_output list, in cases where final_output is enough this saves bandwidth <!-- Thank you for contributing to LangChain! Replace this entire comment with: - Description: a description of the change, - Issue: the issue # it fixes (if applicable), - Dependencies: any dependencies required for this change, - Tag maintainer: for a quicker response, tag the relevant maintainer (see below), - Twitter handle: we announce bigger features on Twitter. If your PR gets announced, and you'd like a mention, we'll gladly shout you out! Please make sure your PR is passing linting and testing before submitting. Run `make format`, `make lint` and `make test` to check this locally. See contribution guidelines for more information on how to write/run tests, lint, etc: https://github.com/langchain-ai/langchain/blob/master/.github/CONTRIBUTING.md If you're adding a new integration, please include: 1. a test for the integration, preferably unit tests that do not rely on network access, 2. an example notebook showing its use. It lives in `docs/extras` directory. If no one reviews your PR within a few days, please @-mention one of @baskaryan, @eyurtsev, @hwchase17. -->	10 months ago
Nuno Campos	970fe23feb	Fixes for opengpts release (#13960 )	10 months ago
David Duong	947daaf833	Exclude Bedrock client and credentials_profile_name fields from serialisation (#13603 )	10 months ago
Bagatur	48fbc5513d	infra[patch], langchain[patch]: fix test deps and upper bound langchain dep on core(#13984 )	10 months ago
Stefano Lottini	1fd724293b	Astra DB vector store, move constructor docstring to class docstring (#13784 ) This PR rearranges the docstring for the `AstraDB` vector store class so as to have all useful information in the _class_ docstring for ease of reading. (incidentally, due to an oversight, the docstring that was in the constructor ended up buried below some lines of code, thereby disappearing altogether from accessibility. Apologies.)	10 months ago
Johannes Foulds	fc40bd4cdb	AnthropicFunctions function_call compatibility (#13901 ) - Description: Updates to `AnthropicFunctions` to be compatible with the OpenAI `function_call` functionality. - Issue: The functionality to indicate `auto`, `none` and a forced function_call was not completely implemented in the existing code. - Dependencies: None - Tag maintainer: @baskaryan , and any of the other maintainers if needed. - Twitter handle: None I have specifically tested this functionality via AWS Bedrock with the Claude-2 and Claude-Instant models.	10 months ago
mengjincn	05ea4fd37d	fix merge None value and non None value error (#13703 ) <!-- Thank you for contributing to LangChain! Replace this entire comment with: - Description: a description of the change, - Issue: the issue # it fixes (if applicable), - Dependencies: any dependencies required for this change, - Tag maintainer: for a quicker response, tag the relevant maintainer (see below), - Twitter handle: we announce bigger features on Twitter. If your PR gets announced, and you'd like a mention, we'll gladly shout you out! Please make sure your PR is passing linting and testing before submitting. Run `make format`, `make lint` and `make test` to check this locally. See contribution guidelines for more information on how to write/run tests, lint, etc: https://github.com/langchain-ai/langchain/blob/master/.github/CONTRIBUTING.md If you're adding a new integration, please include: 1. a test for the integration, preferably unit tests that do not rely on network access, 2. an example notebook showing its use. It lives in `docs/extras` directory. If no one reviews your PR within a few days, please @-mention one of @baskaryan, @eyurtsev, @hwchase17. -->	10 months ago
Ali Orozgani	32d794f5a3	iMessage loader: implement message content extraction from attributed… (#13634 ) - Description: We are adding functionality to extract message content from the `attributedBody` field of the database, in case the content is not in the `text` field. - Issue: Closes #13326 and #10680 - Dependencies: None. - Tag maintainer: @eyurtsev, @hwchase17 --------- Co-authored-by: onotate <johnp.pham@mail.utoronto.ca>	10 months ago
William FH	e5256bcb69	[Evals] Add Project Tags (#13982 ) Add them to project extra	10 months ago
Nuno Campos	e0bcc98436	infra[patch]: Use langchain core in-tree as a dev dependency (#13957 ) Using the published version means master is broken for contributors whenever we make changes in one lib that depend on the other.	10 months ago
unifyh	2703a1b061	Fix `MarkdownHeaderTextSplitter` not recognizing tilde-fenced code blocks (#13511 ) - Description: Previously `MarkdownHeaderTextSplitter` did not consider tilde-fenced code blocks (https://spec.commonmark.org/0.30/#fenced-code-blocks). This PR fixes that. ````md # Bug caused by previous implementation: ~~~py foo() # This is a comment that would be considered header bar() ~~~ ```` - Tag maintainer: @baskaryan	10 months ago
Leonid Ganeline	7929b26017	office365 toolkit bug fixes (#13618 ) Several bug fixes: - emails: instead of `bcc` the `cc` is used. - errors in the truncation descriptions - no truncation of the `message_search` Several updates: - generalized UTC format - truncation limit can be changed now in _call()	10 months ago
William FH	60309341bd	Eval Error Key (#13974 )	10 months ago
Erick Friis	f9bef600f1	RELEASE: core 0.0.7 (#13973 )	10 months ago
Nicolas Bondoux	e17edc4d0b	RunnableLambda: create afunc instance from func when not provided (#13408 ) Fixes #13407. This workaround consists in letting the RunnableLambda create its self.afunc from its self.func when self.afunc is not provided; the change has no dependency. <!-- Thank you for contributing to LangChain! Replace this entire comment with: - Description: a description of the change, - Issue: the issue # it fixes (if applicable), - Dependencies: any dependencies required for this change, - Tag maintainer: for a quicker response, tag the relevant maintainer (see below), - Twitter handle: we announce bigger features on Twitter. If your PR gets announced, and you'd like a mention, we'll gladly shout you out! Please make sure your PR is passing linting and testing before submitting. Run `make format`, `make lint` and `make test` to check this locally. See contribution guidelines for more information on how to write/run tests, lint, etc: https://github.com/langchain-ai/langchain/blob/master/.github/CONTRIBUTING.md If you're adding a new integration, please include: 1. a test for the integration, preferably unit tests that do not rely on network access, 2. an example notebook showing its use. It lives in `docs/extras` directory. If no one reviews your PR within a few days, please @-mention one of @baskaryan, @eyurtsev, @hwchase17. --> --------- Co-authored-by: Erick Friis <erick@langchain.dev> Co-authored-by: Nuno Campos <nuno@langchain.dev>	10 months ago
Nuno Campos	391f200eaa	Implement stream() and astream() for agents (#12783 ) ``` ---- chunk 1 {'actions': [AgentActionMessageLog(tool='Search', tool_input="Leo DiCaprio's current girlfriend", log="\nInvoking: `Search` with `Leo DiCaprio's current girlfriend`\n\n\n", message_log=[AIMessageChunk(content='', additional_kwargs={'function_call': {'name': 'Search', 'arguments': '{\n "__arg1": "Leo DiCaprio\'s current girlfriend"\n}'}})])], 'messages': [AIMessageChunk(content='', additional_kwargs={'function_call': {'name': 'Search', 'arguments': '{\n "__arg1": "Leo DiCaprio\'s current girlfriend"\n}'}})]} ---- chunk 2 {'messages': [FunctionMessage(content="According to Us, the 48-year-old actor is now “exclusively” dating Italian model Vittoria Ceretti. A source told Us that DiCaprio is “completely smitten” with Ceretti, and their relationship is “going so well that Leo's actually being exclusive.”", name='Search')], 'steps': [AgentStep(action=AgentActionMessageLog(tool='Search', tool_input="Leo DiCaprio's current girlfriend", log="\nInvoking: `Search` with `Leo DiCaprio's current girlfriend`\n\n\n", message_log=[AIMessageChunk(content='', additional_kwargs={'function_call': {'name': 'Search', 'arguments': '{\n "__arg1": "Leo DiCaprio\'s current girlfriend"\n}'}})]), observation="According to Us, the 48-year-old actor is now “exclusively” dating Italian model Vittoria Ceretti. A source told Us that DiCaprio is “completely smitten” with Ceretti, and their relationship is “going so well that Leo's actually being exclusive.”")]} ---- chunk 3 {'actions': [AgentActionMessageLog(tool='Search', tool_input='Vittoria Ceretti age', log='\nInvoking: `Search` with `Vittoria Ceretti age`\n\n\n', message_log=[AIMessageChunk(content='', additional_kwargs={'function_call': {'name': 'Search', 'arguments': '{\n "__arg1": "Vittoria Ceretti age"\n}'}})])], 'messages': [AIMessageChunk(content='', additional_kwargs={'function_call': {'name': 'Search', 'arguments': '{\n "__arg1": "Vittoria Ceretti age"\n}'}})]} ---- chunk 4 {'messages': [FunctionMessage(content='25 years', name='Search')], 'steps': [AgentStep(action=AgentActionMessageLog(tool='Search', tool_input='Vittoria Ceretti age', log='\nInvoking: `Search` with `Vittoria Ceretti age`\n\n\n', message_log=[AIMessageChunk(content='', additional_kwargs={'function_call': {'name': 'Search', 'arguments': '{\n "__arg1": "Vittoria Ceretti age"\n}'}})]), observation='25 years')]} ---- chunk 5 {'actions': [AgentActionMessageLog(tool='Calculator', tool_input='25^0.43', log='\nInvoking: `Calculator` with `25^0.43`\n\n\n', message_log=[AIMessageChunk(content='', additional_kwargs={'function_call': {'name': 'Calculator', 'arguments': '{\n "__arg1": "25^0.43"\n}'}})])], 'messages': [AIMessageChunk(content='', additional_kwargs={'function_call': {'name': 'Calculator', 'arguments': '{\n "__arg1": "25^0.43"\n}'}})]} ---- chunk 6 {'messages': [FunctionMessage(content='Answer: 3.991298452658078', name='Calculator')], 'steps': [AgentStep(action=AgentActionMessageLog(tool='Calculator', tool_input='25^0.43', log='\nInvoking: `Calculator` with `25^0.43`\n\n\n', message_log=[AIMessageChunk(content='', additional_kwargs={'function_call': {'name': 'Calculator', 'arguments': '{\n "__arg1": "25^0.43"\n}'}})]), observation='Answer: 3.991298452658078')]} ---- chunk 7 {'messages': [AIMessage(content="Leonardo DiCaprio's current girlfriend is the Italian model Vittoria Ceretti, who is 25 years old. Her age raised to the 0.43 power is approximately 3.99.")], 'output': "Leonardo DiCaprio's current girlfriend is the Italian model " 'Vittoria Ceretti, who is 25 years old. Her age raised to the 0.43 ' 'power is approximately 3.99.'} ---- final {'actions': [AgentActionMessageLog(tool='Search', tool_input="Leo DiCaprio's current girlfriend", log="\nInvoking: `Search` with `Leo DiCaprio's current girlfriend`\n\n\n", message_log=[AIMessageChunk(content='', additional_kwargs={'function_call': {'name': 'Search', 'arguments': '{\n "__arg1": "Leo DiCaprio\'s current girlfriend"\n}'}})]), AgentActionMessageLog(tool='Search', tool_input='Vittoria Ceretti age', log='\nInvoking: `Search` with `Vittoria Ceretti age`\n\n\n', message_log=[AIMessageChunk(content='', additional_kwargs={'function_call': {'name': 'Search', 'arguments': '{\n "__arg1": "Vittoria Ceretti age"\n}'}})]), AgentActionMessageLog(tool='Calculator', tool_input='25^0.43', log='\nInvoking: `Calculator` with `25^0.43`\n\n\n', message_log=[AIMessageChunk(content='', additional_kwargs={'function_call': {'name': 'Calculator', 'arguments': '{\n "__arg1": "25^0.43"\n}'}})])], 'messages': [AIMessageChunk(content='', additional_kwargs={'function_call': {'name': 'Search', 'arguments': '{\n "__arg1": "Leo DiCaprio\'s current girlfriend"\n}'}}), FunctionMessage(content="According to Us, the 48-year-old actor is now “exclusively” dating Italian model Vittoria Ceretti. A source told Us that DiCaprio is “completely smitten” with Ceretti, and their relationship is “going so well that Leo's actually being exclusive.”", name='Search'), AIMessageChunk(content='', additional_kwargs={'function_call': {'name': 'Search', 'arguments': '{\n "__arg1": "Vittoria Ceretti age"\n}'}}), FunctionMessage(content='25 years', name='Search'), AIMessageChunk(content='', additional_kwargs={'function_call': {'name': 'Calculator', 'arguments': '{\n "__arg1": "25^0.43"\n}'}}), FunctionMessage(content='Answer: 3.991298452658078', name='Calculator'), AIMessage(content="Leonardo DiCaprio's current girlfriend is the Italian model Vittoria Ceretti, who is 25 years old. Her age raised to the 0.43 power is approximately 3.99.")], 'output': "Leonardo DiCaprio's current girlfriend is the Italian model " 'Vittoria Ceretti, who is 25 years old. Her age raised to the 0.43 ' 'power is approximately 3.99.', 'steps': [AgentStep(action=AgentActionMessageLog(tool='Search', tool_input="Leo DiCaprio's current girlfriend", log="\nInvoking: `Search` with `Leo DiCaprio's current girlfriend`\n\n\n", message_log=[AIMessageChunk(content='', additional_kwargs={'function_call': {'name': 'Search', 'arguments': '{\n "__arg1": "Leo DiCaprio\'s current girlfriend"\n}'}})]), observation="According to Us, the 48-year-old actor is now “exclusively” dating Italian model Vittoria Ceretti. A source told Us that DiCaprio is “completely smitten” with Ceretti, and their relationship is “going so well that Leo's actually being exclusive.”"), AgentStep(action=AgentActionMessageLog(tool='Search', tool_input='Vittoria Ceretti age', log='\nInvoking: `Search` with `Vittoria Ceretti age`\n\n\n', message_log=[AIMessageChunk(content='', additional_kwargs={'function_call': {'name': 'Search', 'arguments': '{\n "__arg1": "Vittoria Ceretti age"\n}'}})]), observation='25 years'), AgentStep(action=AgentActionMessageLog(tool='Calculator', tool_input='25^0.43', log='\nInvoking: `Calculator` with `25^0.43`\n\n\n', message_log=[AIMessageChunk(content='', additional_kwargs={'function_call': {'name': 'Calculator', 'arguments': '{\n "__arg1": "25^0.43"\n}'}})]), observation='Answer: 3.991298452658078')]} ```	10 months ago
Michael Feil	686162670e	langchain[minor]: Adding `infinity` embedding integration. (#13928 ) This adds integation to https://github.com/michaelfeil/infinity. Users requested it in https://github.com/michaelfeil/infinity/issues/36 @saatvikshah Follows my implementation of gradient.ai. Feedback 1: Well done - I love your CI / repo / poetry setup - I adapted a lot in https://github.com/michaelfeil/infinity. Feedback 2: Not so good: The openai integration contains to much reverse engineering - in general projects such as michaelfeil/infinity and huggingface/text-embeddings-inference are compatible to the `pip install openai` package. Reverse engineering like this one is really hindering the use for me: `8e88ba16a8/libs/langchain/langchain/embeddings/openai.py (L347)` `8e88ba16a8/libs/langchain/langchain/embeddings/openai.py (L351)` - it is about preventing 3rd party providers to use the same url + uses interfaces of openai, that are not publically documented.	10 months ago
Bagatur	10a6e7cbb6	langchain[patch], core[patch]: Make common utils public (#13932 ) - rename `langchain_core.chat_models.base._generate_from_stream` -> `generate_from_stream` - rename `langchain_core.chat_models.base._agenerate_from_stream` -> `agenerate_from_stream` - export `langchain_core.utils.utils.build_extra_kwargs` from `langchain_core.utils`	10 months ago
Oleksandr Yaremchuk	c0277d06e8	experimental[patch] Update prompt injection model (#13930 ) - Description: Existing model used for Prompt Injection is quite outdated but we fine-tuned and open-source a new model based on the same model deberta-v3-base from Microsoft - [laiyer/deberta-v3-base-prompt-injection](https://huggingface.co/laiyer/deberta-v3-base-prompt-injection). It supports more up-to-date injections and less prone to false-positives. - Dependencies: No - Tag maintainer: - - Twitter handle: @alex_yaremchuk --------- Co-authored-by: Bagatur <baskaryan@gmail.com>	10 months ago
Bob Lin	e6ebde9688	experimental[patch]: Add experimental.agent imports (#13839 ) - Description: The experimental package needs to be compatible with the usage of importing agents For example, if i use `from langchain.agents import create_pandas_dataframe_agent`, running the program will prompt the following information: ``` Traceback (most recent call last): File "/Users/dongwm/test/main.py", line 1, in <module> from langchain.agents import create_pandas_dataframe_agent File "/Users/dongwm/test/venv/lib/python3.11/site-packages/langchain/agents/__init__.py", line 87, in __getattr__ raise ImportError( ImportError: create_pandas_dataframe_agent has been moved to langchain experimental. See https://github.com/langchain-ai/langchain/discussions/11680 for more information. Please update your import statement from: `langchain.agents.create_pandas_dataframe_agent` to `langchain_experimental.agents.create_pandas_dataframe_agent`. ``` But when I changed to `from langchain_experimental.agents import create_pandas_dataframe_agent`, it was actually wrong: ```python Traceback (most recent call last): File "/Users/dongwm/test/main.py", line 2, in <module> from langchain_experimental.agents import create_pandas_dataframe_agent ImportError: cannot import name 'create_pandas_dataframe_agent' from 'langchain_experimental.agents' (/Users/dongwm/test/venv/lib/python3.11/site-packages/langchain_experimental/agents/__init__.py) ``` I should use `from langchain_experimental.agents.agent_toolkits import create_pandas_dataframe_agent`. In order to solve the problem and make it compatible, I added additional import code to the langchain_experimental package. Now it can be like this Used `from langchain_experimental.agents import create_pandas_dataframe_agent` - Twitter handle: [lin_bob57617](https://twitter.com/lin_bob57617)	10 months ago
Tyler Titsworth	afcfa2a5e7	langchain[patch]: Add progress bar option to OllamaEmbeddings (#13882 ) - Description: Adds a tqdm progress bar to OllamaEmbeddings when embedding a list. - Issue: Related to #13637, but extended to Ollama. - Dependencies: `tqdm` made a necessary dependency. Thanks to @ugm2 for helping identify a common problem. Embeddings take a very long time to finish on local machines, and require a progress bar to help identify if one should even attempt the workload. --------- Co-authored-by: Bagatur <baskaryan@gmail.com>	10 months ago
jeremyb-data	cd77fba562	Improvement: Weaviate multitenant adddocs (#13827 ) <!-- Thank you for contributing to LangChain! Replace this entire comment with: - Description: Added a line to pass the tenant parameter to add_data_object - Issue: An extra line added from the fix for #9956 - Dependencies: n/a - Tag maintainer: @baskaryan Tested locally, works as expected with the line change. --------- Co-authored-by: Simon Dai <simon6752@gmail.com>	10 months ago
jiangying	3e30cd8261	NIT: comment typo (#13817 )	10 months ago
Assaf Toledo	ba62ff89cc	BUGFIX: Support for elastic indices that don't return 'metadata' in '_source' (#13903 ) Description: Some Elastic indexes do not return a 'metadata' field in '_source'. However, prior to this PR, the code assumed there always is a 'metadata' field. This PR adds support for cases where the field is missing by adding it manually. Issue: #13869	10 months ago
Enric Soler Rastrollo	c156d0281a	BUGFIX: Use embedding key in azure_cosmos_db index creation (#13919 ) Description: Implement embedding key parametrisation Issue: https://github.com/langchain-ai/langchain/issues/13918 Dependencies: None Tag maintainer: @hwchase17 @izzymsft Twitter handle:@MaddogoS	10 months ago
Bagatur	ac67422a3d	IMPROVEMENT: import Document from core (#13905 )	10 months ago
chyroc	886bc2d50a	IMPROVEMENT: fix qianfan validate_environment typo (#13908 )	10 months ago
Chengzu Ou	4b8e053fe8	FEATURE: Add Databricks Vector Search as a new vector store (#13621 ) Description: This PR adds Databricks Vector Search as a new vector store in LangChain. - [x] Add `DatabricksVectorSearch` in `langchain/vectorstores/` - [x] Unit tests - [x] Add [`databricks-vectorsearch`](https://pypi.org/project/databricks-vectorsearch/) as a new optional dependency We ran the following checks: - `make format` passed ✅ - `make lint` failed but the failures were caused by other files + Files touched by this PR passed the linter ✅ - `make test` passed ✅ - `make coverage` failed but the failures were caused by other files. Tests added by or related to this PR all passed + langchain/vectorstores/databricks_vector_search.py test coverage 94% ✅ - `make spell_check` passed ✅ The example notebook and updates to the [provider's documentation page](https://github.com/langchain-ai/langchain/blob/master/docs/docs/integrations/providers/databricks.md) will be added later in a separate PR. Dependencies: Optional dependency: [`databricks-vectorsearch`](https://pypi.org/project/databricks-vectorsearch/) --------- Co-authored-by: Bagatur <baskaryan@gmail.com>	10 months ago
Leonid Kuligin	25387db432	BUFIX: add support for various OSS images from Vertex Model Garden (#13917 ) - Description: add support for various OSS images from Model Garden - Issue: #13370	10 months ago
Eugene Yurtsev	e186637921	Document Runnable Binding (#13927 ) Document runnable binding	10 months ago
Bagatur	46b3311190	RELEASE: 0.0.341 (#13926 )	10 months ago
umair mehmood	b3e08f9239	improvement: fix chat prompt loading from config (#13818 ) Add loader for loading chat prompt from config file. fixed: #13667 @efriis @baskaryan	10 months ago
Nuno Campos	8a3e0c9afa	Add option to prefix config keys in configurable_alts (#13714 )	10 months ago
ggeutzzang	3749af79ae	DOCS: fixed error in the docstring of RunnablePassthrough class (#13843 ) This pull request addresses an issue found in the example code within the docstring of `libs/core/langchain_core/runnables/passthrough.py` The original code snippet caused a `NameError` due to the missing import of `RunnableLambda`. The error was as follows: ``` 12 return "completion" 13 ---> 14 chain = RunnableLambda(fake_llm) \| { 15 'original': RunnablePassthrough(), # Original LLM output 16 'parsed': lambda text: text[::-1] # Parsing logic NameError: name 'RunnableLambda' is not defined ``` To resolve this, I have modified the example code to include the necessary import statement for `RunnableLambda`. Additionally, I have adjusted the indentation in the code snippet to ensure consistency and readability. The modified code now successfully defines and utilizes `RunnableLambda`, ensuring that users referencing the docstring will have a functional and clear example to follow. There are no related GitHub issues for this particular change. Modified Code: ```python from langchain_core.runnables import RunnablePassthrough, RunnableParallel from langchain_core.runnables import RunnableLambda runnable = RunnableParallel( origin=RunnablePassthrough(), modified=lambda x: x+1 ) runnable.invoke(1) # {'origin': 1, 'modified': 2} def fake_llm(prompt: str) -> str: # Fake LLM for the example return "completion" chain = RunnableLambda(fake_llm) \| { 'original': RunnablePassthrough(), # Original LLM output 'parsed': lambda text: text[::-1] # Parsing logic } chain.invoke('hello') # {'original': 'completion', 'parsed': 'noitelpmoc'} ``` --------- Co-authored-by: Bagatur <baskaryan@gmail.com>	10 months ago
Dylan Williams	1983a39894	FEATURE: Add OneNote document loader (#13841 ) - Description: Added OneNote document loader - Issue: #12125 - Dependencies: msal Co-authored-by: Bagatur <baskaryan@gmail.com>	10 months ago
Tomaz Bratanic	1ad65f7a98	BUGFIX: Fix bugs with Cypher validation (#13849 ) Fixes https://github.com/langchain-ai/langchain/issues/13803. Thanks to @sakusaku-rich	10 months ago
Harrison Chase	6a35831128	BUGFIX: export more types (#13886 ) Co-authored-by: Bagatur <baskaryan@gmail.com>	10 months ago
Yusuf Khan	935f78c944	FEATURE: Add retriever for Outline (#13889 ) - Description: Added a retriever for the Outline API to ask questions on knowledge base - Issue: resolves #11814 - Dependencies: None - Tag maintainer: @baskaryan	10 months ago
Bagatur	0efa59cbb8	RELEASE: 0.0.339rc3 (#13852 )	10 months ago
Bagatur	7222c42077	RELEASE: core 0.0.6 (#13853 )	10 months ago
raelix	c172605ea6	IMPROVEMENT: Added title metadata to GoogleDriveLoader for optional File Loaders (#13832 ) - Description: Simple change, I just added title metadata to GoogleDriveLoader for optional File Loaders - Dependencies: no dependencies - Tag maintainer: @hwchase17 --------- Co-authored-by: Bagatur <baskaryan@gmail.com>	10 months ago
Stefano Lottini	19c68c7652	FEATURE: Astra DB, LLM cache classes (exact-match and semantic cache) (#13834 ) This PR provides idiomatic implementations for the exact-match and the semantic LLM caches using Astra DB as backend through the database's HTTP JSON API. These caches require the `astrapy` library as dependency. Comes with integration tests and example usage in the `llm_cache.ipynb` in the docs. @baskaryan this is the Astra DB counterpart for the Cassandra classes you merged some time ago, tagging you for your familiarity with the topic. Thank you! --------- Co-authored-by: Bagatur <baskaryan@gmail.com>	10 months ago
Stefano Lottini	272df9dcae	Astra DB, chat message history (#13836 ) This PR adds a chat message history component that uses Astra DB for persistence through the JSON API. The `astrapy` package is required for this class to work. I have added tests and a small notebook, and updated the relevant references in the other docs pages. (@rlancemartin this is the counterpart of the Cassandra equivalent class you so helpfully reviewed back at the end of June) Thank you!	10 months ago
Bagatur	58f7e109ac	BUGFIX: Add import types and typevars from core (#13829 )	10 months ago
Bagatur	751226e067	bump 0.0.339rc2 (#13787 )	10 months ago
Bagatur	300ff01824	RELEASE: core 0.0.5 (#13786 )	10 months ago
Bagatur	72c108b003	IMPROVEMENT: filter global warnings properly (#13754 )	10 months ago
William FH	163bf165ed	Add Batch Size kwarg to the llm start callback (#13483 ) So you can more easily use the token counts directly from the API endpoint for batch size of 1	10 months ago
Bagatur	0be515f720	RELEASE: 0.0.339rc1 (#13746 )	10 months ago
Bagatur	2bc5bd67f7	RELEASE: core 0.0.4 (#13745 )	10 months ago
Bagatur	32d087fcb8	REFACTOR: combine core documents files (#13733 )	10 months ago
William FH	5b90fe5b1c	Fix locking (#13725 )	10 months ago
Bagatur	16af282429	BUGFIX: add prompt imports for backwards compat (#13702 )	10 months ago
Bagatur	e327bb4ba4	IMPROVEMENT: Conditionally import core type hints (#13700 )	10 months ago
dandanwei	d47ee1ae79	BUGFIX: redis vector store overwrites falsey metadata (#13652 ) - Description: This commit fixed the problem that Redis vector store will change the value of a metadata from 0 to empty when saving the document, which should be an un-intended behavior. - Issue: N/A - Dependencies: N/A	10 months ago
Bagatur	a21e84faf7	BUGFIX: llm backwards compat imports (#13698 )	10 months ago
Yujie Qian	ace9e64d62	IMPROVEMENT: VoyageEmbeddings embed_general_texts (#13620 ) - Description: add method embed_general_texts in VoyageEmebddings to support input_type - Issue: - Dependencies: - Tag maintainer: - Twitter handle: @Voyage_AI_	10 months ago
tanujtiwari-at	5064890fcf	BUGFIX: handle tool message type when converting to string (#13626 ) Description: Currently, if we pass in a ToolMessage back to the chain, it crashes with error `Got unsupported message type: ` This fixes it. Tested locally --------- Co-authored-by: Bagatur <baskaryan@gmail.com>	10 months ago
Josep Pon Farreny	143049c90f	Added partial_variables to BaseStringMessagePromptTemplate.from_template(...) (#13645 ) Description: BaseStringMessagePromptTemplate.from_template was passing the value of partial_variables into cls(...) via *kwargs, rather than passing it to PromptTemplate.from_template. Which resulted in those partial_variables being* lost and becoming required input_variables. Co-authored-by: Josep Pon Farreny <josep.pon-farreny@siemens.com> Co-authored-by: Bagatur <baskaryan@gmail.com>	10 months ago
Erick Friis	c5ae9f832d	INFRA: Lint for imports (#13632 ) - Adds pydantic/import linting to core - Adds a check for `langchain_experimental` imports to langchain	10 months ago
Erick Friis	131db4ba68	BUGFIX: anthropic models on bedrock (#13629 ) Introduced in #13403	10 months ago
David Ruan	04bddbaba4	BUGFIX: Update bedrock.py to fix provider bug (#13646 ) Provider check was incorrectly failing for anything other than "meta"	10 months ago
Bagatur	dc53523837	IMPROVEMENT: bump core dep 0.0.3 (#13690 )	10 months ago
Bagatur	a208abe6b7	add callback import test (#13689 )	10 months ago
Bagatur	083afba697	BUG: Add core utils imports (#13688 )	10 months ago
Bagatur	c61e30632e	BUG: more core fixes (#13665 ) Fix some circular deps: - move PromptValue into top level module bc both PromptTemplates and OutputParsers import - move tracer context vars to `tracers.context` and import them in functions in `callbacks.manager` - add core import tests	10 months ago
William FH	59df16ab92	Update name (#13676 )	10 months ago
Erick Friis	bfb980b968	CLI 0.0.19 (#13677 )	10 months ago
jakerachleff	249c796785	update langserve to v0.0.30 (#13673 ) Upgrade langserve template version to 0.0.30 to include new improvements	10 months ago
jakerachleff	c6937a2eb4	fix templates dockerfile (#13672 ) - Description: We need to update the Dockerfile for templates to also copy your README.md. This is because poetry requires that a readme exists if it is specified in the pyproject.toml	10 months ago
Bagatur	11614700a4	bump 0.0.339rc0 (#13664 )	10 months ago
Bagatur	d32e511826	REFACTOR: Refactor langchain_core (#13627 ) Changes: - remove langchain_core/schema since no clear distinction b/n schema and non-schema modules - make every module that doesn't end in -y plural - where easy have 1-2 classes per file - no more than one level of nesting in directories - only import from top level core modules in langchain	10 months ago
William FH	17c6551c18	Add error rate (#13568 ) To the in-memory outputs. Separate it out from the outputs so it's present in the dataframe.describe() results	10 months ago
Nuno Campos	8329f81072	Use pytest asyncio auto mode (#13643 ) <!-- Thank you for contributing to LangChain! Replace this entire comment with: - Description: a description of the change, - Issue: the issue # it fixes (if applicable), - Dependencies: any dependencies required for this change, - Tag maintainer: for a quicker response, tag the relevant maintainer (see below), - Twitter handle: we announce bigger features on Twitter. If your PR gets announced, and you'd like a mention, we'll gladly shout you out! Please make sure your PR is passing linting and testing before submitting. Run `make format`, `make lint` and `make test` to check this locally. See contribution guidelines for more information on how to write/run tests, lint, etc: https://github.com/langchain-ai/langchain/blob/master/.github/CONTRIBUTING.md If you're adding a new integration, please include: 1. a test for the integration, preferably unit tests that do not rely on network access, 2. an example notebook showing its use. It lives in `docs/extras` directory. If no one reviews your PR within a few days, please @-mention one of @baskaryan, @eyurtsev, @hwchase17. -->	10 months ago
Bagatur	99b4f46cbe	REFACTOR: Add core as dep (#13623 )	10 months ago
Harrison Chase	d82cbf5e76	Separate out langchain_core package (#13577 ) Co-authored-by: Nuno Campos <nuno@boringbits.io> Co-authored-by: Bagatur <baskaryan@gmail.com> Co-authored-by: Erick Friis <erick@langchain.dev>	10 months ago
Bagatur	e620347a83	RELEASE: bump 339 (#13613 )	10 months ago
Ofer Mendelevitch	52e23e50b1	BUG: Fix search_kwargs in Vectara retriever (#13299 ) - Description: fix a bug that prevented as_retriever() in Vectara to use the desired input arguments - Issue: as_retriever did not pass the arguments properly - Tag maintainer: @baskaryan - Twitter handle: @ofermend	10 months ago
Holt Skinner	1c08dbfb33	IMPROVEMENT: Reduce post-processing time for `DocAIParser` (#13210 ) - Remove `WrappedDocument` introduced in https://github.com/langchain-ai/langchain/pull/11413 - https://github.com/googleapis/python-documentai-toolbox/issues/198 in Document AI Toolbox to improve initialization time for `WrappedDocument` object. @lkuligin @baskaryan @hwchase17	10 months ago
Leonid Kuligin	f3fcdea574	fixed an UnboundLocalError when no documents are found (#12995 ) Replace this entire comment with: - Description: fixed a bug - Issue: the issue # #12780	10 months ago
Stijn Tratsaert	b6f70d776b	VertexAI LLM count_tokens method requires list of prompts (#13451 ) I encountered this during summarization with VertexAI. I was receiving an INVALID_ARGUMENT error, as it was trying to send a list of about 17000 single characters. The [count_tokens method](https://github.com/googleapis/python-aiplatform/blob/main/vertexai/language_models/_language_models.py#L658) made available by Google takes in a list of prompts. It does not fail for small texts, but it does for longer documents because the argument list will be exceeding Googles allowed limit. Enforcing the list type makes it work successfully. This change will cast the input text to count to a list of that single text so that the input format is always correct. [Twitter](https://www.x.com/stijn_tratsaert)	10 months ago
Wang Wei	fe7b40cb2a	feat: add ERNIE-Bot-4 Function Calling (#13320 ) - Description: ERNIE-Bot-Chat-4 Large Language Model adds the ability of `Function Calling` by passing parameters through the `functions` parameter in the request. To simplify function calling for ERNIE-Bot-Chat-4, the `create_ernie_fn_chain()` function has been added. The definition and usage of the `create_ernie_fn_chain()` function is similar to that of the `create_openai_fn_chain()` function. Examples as the follows: ``` import json from langchain.chains.ernie_functions import ( create_ernie_fn_chain, ) from langchain.chat_models import ErnieBotChat from langchain.prompts import ChatPromptTemplate def get_current_news(location: str) -> str: """Get the current news based on the location.' Args: location (str): The location to query. Returs: str: Current news based on the location. """ news_info = { "location": location, "news": [ "I have a Book.", "It's a nice day, today." ] } return json.dumps(news_info) def get_current_weather(location: str, unit: str="celsius") -> str: """Get the current weather in a given location Args: location (str): location of the weather. unit (str): unit of the tempuature. Returns: str: weather in the given location. """ weather_info = { "location": location, "temperature": "27", "unit": unit, "forecast": ["sunny", "windy"], } return json.dumps(weather_info) llm = ErnieBotChat(model_name="ERNIE-Bot-4") prompt = ChatPromptTemplate.from_messages( [ ("human", "{query}"), ] ) chain = create_ernie_fn_chain([get_current_weather, get_current_news], llm, prompt, verbose=True) res = chain.run("北京今天的新闻是什么？") print(res) ``` The running results of the above program are shown below： ``` > Entering new LLMChain chain... Prompt after formatting: Human: 北京今天的新闻是什么？ > Finished chain. {'name': 'get_current_news', 'thoughts': '用户想要知道北京今天的新闻。我可以使用get_current_news工具来获取这些信息。', 'arguments': {'location': '北京'}} ```	10 months ago
Adilkhan Sarsen	10418ab0c1	DeepLake Backwards compatibility fix (#13388 ) - Description: during search with DeepLake some people are facing backwards compatibility issues, this PR fixes it by making search accessible for the older datasets --------- Co-authored-by: adolkhan <adilkhan.sarsen@alumni.nu.edu.kz>	10 months ago
Tyler Hutcherson	190952fe76	IMPROVEMENT: Minor redis improvements (#13381 ) - Description: - Fixes a `key_prefix` bug where passing it in on `Redis.from_existing(...)` did not work properly. Updates doc strings accordingly. - Updates Redis filter classes logic with best practices on typing, string formatting, and handling "empty" filters. - Fixes a bug that would prevent multiple tag filters from being applied together in some scenarios. - Added a whole new filter unit testing module. Also updated code formatting for a number of modules that were failing the `make` commands. - Issue: N/A - Dependencies: N/A - Tag maintainer: @baskaryan - Twitter handle: @tchutch94	10 months ago
Sergey Kozlov	df03267edf	Fix tool arguments formatting in StructuredChatAgent (#10480 ) In the `FORMAT_INSTRUCTIONS` template, 4 curly braces (escaping) are used to get single curly brace after formatting: ``` "{{{ ... }}}}" -> format_instructions.format() -> "{{ ... }}" -> template.format() -> "{ ... }". ``` Tool's `args_schema` string contains single braces `{ ... }`, and is also transformed to `{{{{ ... }}}}` form. But this is not really correct since there is only one `format()` call: ``` "{{{{ ... }}}}" -> template.format() -> "{{ ... }}". ``` As a result we get double curly braces in the prompt: ```` Respond to the human as helpfully and accurately as possible. You have access to the following tools: foo: Test tool FOO, args: {{'tool_input': {{'type': 'string'}}}} # <--- !!! ... Provide only ONE action per $JSON_BLOB, as shown: ``` { "action": $TOOL_NAME, "action_input": $INPUT } ``` ```` This PR fixes curly braces escaping in the `args_schema` to have single braces in the final prompt: ```` Respond to the human as helpfully and accurately as possible. You have access to the following tools: foo: Test tool FOO, args: {'tool_input': {'type': 'string'}} # <--- !!! ... Provide only ONE action per $JSON_BLOB, as shown: ``` { "action": $TOOL_NAME, "action_input": $INPUT } ``` ```` --------- Co-authored-by: Sergey Kozlov <sergey.kozlov@ludditelabs.io>	10 months ago
Wouter Durnez	ef7802b325	Add llama2-13b-chat-v1 support to `chat_models.BedrockChat` (#13403 ) Hi 👋 We are working with Llama2 on Bedrock, and would like to add it to Langchain. We saw a [pull request](https://github.com/langchain-ai/langchain/pull/13322) to add it to the `llm.Bedrock` class, but since it concerns a chat model, we would like to add it to `BedrockChat` as well. - Description: Add support for Llama2 to `BedrockChat` in `chat_models` - Issue: the issue # it fixes (if applicable) [#13316](https://github.com/langchain-ai/langchain/issues/13316) - Dependencies: any dependencies required for this change `None` - Tag maintainer: / - Twitter handle: `@SimonBockaert @WouterDurnez` --------- Co-authored-by: wouter.durnez <wouter.durnez@showpad.com> Co-authored-by: Simon Bockaert <simon.bockaert@showpad.com>	10 months ago
jwbeck97	a93616e972	FEAT: Add azure cognitive health tool (#13448 ) - Description: This change adds an agent to the Azure Cognitive Services toolkit for identifying healthcare entities - Dependencies: azure-ai-textanalytics (Optional) --------- Co-authored-by: James Beck <James.Beck@sa.gov.au> Co-authored-by: Bagatur <baskaryan@gmail.com>	10 months ago
Massimiliano Pronesti	6bf9b2cb51	BUG: Limit Azure OpenAI embeddings chunk size (#13425 ) Hi! This short PR aims at: * Fixing `OpenAIEmbeddings`' check on `chunk_size` when used with Azure OpenAI (thus with openai < 1.0). Azure OpenAI embeddings support at most 16 chunks per batch, I believe we are supposed to take the min between the passed value/default value and 16, not the max - which, I suppose, was introduced by accident while refactoring the previous version of this check from this other PR of mine: #10707 * Porting this fix to the newest class (`AzureOpenAIEmbeddings`) for openai >= 1.0 This fixes #13539 (closed but the issue persists). @baskaryan @hwchase17	10 months ago
Zeyang Lin	e53f59f01a	DOCS: doc-string - langchain.vectorstores.dashvector.DashVector (#13502 ) - Description: There are several mistakes in the sample code in the doc-string of `DashVector` class, and this pull request aims to correct them. The correction code has been tested against latest version (at the time of creation of this pull request) of: `langchain==0.0.336` `dashvector==1.0.6` . - Issue: No issue is created for this. - Dependencies: No dependency is required for this change, <!-- - Tag maintainer: for a quicker response, tag the relevant maintainer (see below), --> - Twitter handle: `zeyanglin` <!-- Please make sure your PR is passing linting and testing before submitting. Run `make format`, `make lint` and `make test` to check this locally. See contribution guidelines for more information on how to write/run tests, lint, etc: https://github.com/langchain-ai/langchain/blob/master/.github/CONTRIBUTING.md If you're adding a new integration, please include: 1. a test for the integration, preferably unit tests that do not rely on network access, 2. an example notebook showing its use. It lives in `docs/extras` directory. If no one reviews your PR within a few days, please @-mention one of @baskaryan, @eyurtsev, @hwchase17. -->	10 months ago
John Mai	16f7912e1b	BUG: fix hunyuan appid type (#13496 ) - Description: fix hunyuan appid type - Issue: https://github.com/langchain-ai/langchain/pull/12022#issuecomment-1815627855	10 months ago
Nicolò Boschi	8362bd729b	AstraDB: use includeSimilarity option instead of $similarity (#13512 ) - Description: AstraDB is going to deprecate the `$similarity` projection property in favor of the ´includeSimilarity´ option flag. I moved all the queries to the new format. - Tag maintainer: @hemidactylus - Twitter handle: nicoloboschi	10 months ago
shumpei	7100d586ef	Introduce search_kwargs for Custom Parameters in BingSearchAPIWrapper (#13525 ) Added a `search_kwargs` field to BingSearchAPIWrapper in `bing_search.py,` enabling users to include extra keyword arguments in Bing search queries. This update, like specifying language preferences, adds more customization to searches. The `search_kwargs` seamlessly merge with standard parameters in `_bing_search_results` method. --------- Co-authored-by: Erick Friis <erick@langchain.dev>	10 months ago
Nicolò Boschi	ad0c3b9479	Fix Astra integration tests (#13520 ) - Description: Fix Astra integration tests that are failing. The `delete` always return True as the deletion is successful if no errors are thrown. I aligned the test to verify this behaviour - Tag maintainer: @hemidactylus - Twitter handle: nicoloboschi --------- Co-authored-by: Bagatur <baskaryan@gmail.com>	10 months ago
umair mehmood	69d39e2173	fix: VLLMOpenAI -- create() got an unexpected keyword argument 'api_key' (#13517 ) The issue was accuring because of `openai` update in Completions. its not accepting `api_key` and 'api_base' args. The fix is we check for the openai version and if ats v1 then remove these keys from args before passing them to `Compilation.create(...)` when sending from `VLLMOpenAI` Fixed: #13507 @eyu @efriis @hwchase17 --------- Co-authored-by: Erick Friis <erick@langchain.dev>	10 months ago
Manuel Alemán Cueto	6bc08266e0	Fix for oracle schema parsing stated on the issue #7928 (#13545 ) - Description: In this pull request, we address an issue related to assigning a schema to the SQLDatabase class when utilizing an Oracle database. The current implementation encounters a bug where, upon attempting to execute a query, the alter session parse is not appropriately defined for Oracle, leading to an error, - Issue: #7928, - Dependencies: No dependencies, - Tag maintainer: @baskaryan, --------- Co-authored-by: Bagatur <baskaryan@gmail.com>	10 months ago
Andrew Teeter	325bdac673	feat: load all namespaces (#13549 ) - Description: This change allows for the `MWDumpLoader` to load all namespaces including custom by default instead of only loading the [default namespaces](https://www.mediawiki.org/wiki/Help:Namespaces#Localisation). - Tag maintainer: @hwchase17	10 months ago
Taranjeet Singh	47451764a7	Add embedchain retriever (#13553 ) Description: This commit adds embedchain retriever along with tests and docs. Embedchain is a RAG framework to create data pipelines. Twitter handle: - [Taranjeet's twitter](https://twitter.com/taranjeetio) and [Embedchain's twitter](https://twitter.com/embedchain) Reviewer @hwchase17 --------- Co-authored-by: Bagatur <baskaryan@gmail.com>	10 months ago
rafly lesmana	420a17542d	fix: Make YoutubeLoader support on demand language translation (#13583 ) Description: Enhance the functionality of YoutubeLoader to enable the translation of available transcripts by refining the existing logic. Issue: Encountering a problem with YoutubeLoader (#13523) where the translation feature is not functioning as expected. Tag maintainers/contributors who might be interested: @eyurtsev --------- Co-authored-by: Bagatur <baskaryan@gmail.com>	10 months ago
Bagatur	78a1f4b264	bump 338, exp 42 (#13564 )	10 months ago
Harrison Chase	f4c0e3cc15	move streaming stdout (#13559 )	10 months ago
Leonid Ganeline	43dad6cb91	BUG fixed `openai_assistant` namespace (#13543 ) BUG: langchain.agents.openai_assistant has a reference as `from langchain_experimental.openai_assistant.base import OpenAIAssistantRunnable` should be `from langchain.agents.openai_assistant.base import OpenAIAssistantRunnable` This prevents building of the API Reference docs	10 months ago
Bassem Yacoube	ff382b7b1b	IMPROVEMENT Adds support for new OctoAI endpoints (#13521 ) small fix to add support for new OctoAI LLM endpoints	10 months ago
William FH	cac849ae86	Use random seed (#13544 ) For default eval llm	10 months ago
Martin Krasser	79ed66f870	EXPERIMENTAL Generic LLM wrapper to support chat model interface with configurable chat prompt format (#8295 ) ## Update 2023-09-08 This PR now supports further models in addition to Lllama-2 chat models. See [this comment](#issuecomment-1668988543) for further details. The title of this PR has been updated accordingly. ## Original PR description This PR adds a generic `Llama2Chat` model, a wrapper for LLMs able to serve Llama-2 chat models (like `LlamaCPP`, `HuggingFaceTextGenInference`, ...). It implements `BaseChatModel`, converts a list of chat messages into the [required Llama-2 chat prompt format](https://huggingface.co/blog/llama2#how-to-prompt-llama-2) and forwards the formatted prompt as `str` to the wrapped `LLM`. Usage example: ```python # uses a locally hosted Llama2 chat model llm = HuggingFaceTextGenInference( inference_server_url="http://127.0.0.1:8080/", max_new_tokens=512, top_k=50, temperature=0.1, repetition_penalty=1.03, ) # Wrap llm to support Llama2 chat prompt format. # Resulting model is a chat model model = Llama2Chat(llm=llm) messages = [ SystemMessage(content="You are a helpful assistant."), MessagesPlaceholder(variable_name="chat_history"), HumanMessagePromptTemplate.from_template("{text}"), ] prompt = ChatPromptTemplate.from_messages(messages) memory = ConversationBufferMemory(memory_key="chat_history", return_messages=True) chain = LLMChain(llm=model, prompt=prompt, memory=memory) # use chat model in a conversation # ... ``` Also part of this PR are tests and a demo notebook. - Tag maintainer: @hwchase17 - Twitter handle: `@mrt1nz` --------- Co-authored-by: Erick Friis <erick@langchain.dev>	10 months ago
William FH	c56faa6ef1	Add execution time (#13542 ) And warn instead of raising an error, since the chain API is too inconsistent.	10 months ago
pedro-inf-custodio	0fb5f857f9	IMPROVEMENT WebResearchRetriever error handling in urls with connection error (#13401 ) - Description: Added a method `fetch_valid_documents` to `WebResearchRetriever` class that will test the connection for every url in `new_urls` and remove those that raise a `ConnectionError`. - Issue: [Previous PR](https://github.com/langchain-ai/langchain/pull/13353), - Dependencies: None, - Tag maintainer: @efriis Please make sure your PR is passing linting and testing before submitting. Run `make format`, `make lint` and `make test` to check this locally. See contribution guidelines for more information on how to write/run tests, lint, etc: https://github.com/langchain-ai/langchain/blob/master/.github/CONTRIBUTING.md If you're adding a new integration, please include: 1. a test for the integration, preferably unit tests that do not rely on network access, 2. an example notebook showing its use. It lives in `docs/extras` directory. If no one reviews your PR within a few days, please @-mention one of @baskaryan, @eyurtsev, @hwchase17.	10 months ago
Piyush Jain	d2335d0114	IMPROVEMENT Neptune graph updates (#13491 ) ## Description This PR adds an option to allow unsigned requests to the Neptune database when using the `NeptuneGraph` class. ```python graph = NeptuneGraph( host='<my-cluster>', port=8182, sign=False ) ``` Also, added is an option in the `NeptuneOpenCypherQAChain` to provide additional domain instructions to the graph query generation prompt. This will be injected in the prompt as-is, so you should include any provider specific tags, for example `<instructions>` or `<INSTR>`. ```python chain = NeptuneOpenCypherQAChain.from_llm( llm=llm, graph=graph, extra_instructions=""" Follow these instructions to build the query: 1. Countries contain airports, not the other way around 2. Use the airport code for identifying airports """ ) ```	10 months ago
William FH	5a28dc3210	Override Keys Option (#13537 ) Should be able to override the global key if you want to evaluate different outputs in a single run	10 months ago
Bagatur	e584b28c54	bump 337 (#13534 )	10 months ago
Bagatur	2e2114d2d0	FEATURE: Runnable with message history (#13418 ) Add RunnableWithMessageHistory class that can wrap certain runnables and manages chat history for them.	10 months ago
Bagatur	0fc3af8932	IMPROVEMENT: update assistants output and doc (#13480 )	10 months ago
Hugues Chocart	35e04f204b	[LLMonitorCallbackHandler] Various improvements (#13151 ) Small improvements for the llmonitor callback handler, like better support for non-openai models. --------- Co-authored-by: vincelwt <vince@lyser.io>	10 months ago
Noah Stapp	c1b041c188	Add Wrapping Library Metadata to MongoDB vector store (#13084 ) Description MongoDB drivers are used in various flavors and languages. Making sure we exercise our due diligence in identifying the "origin" of the library calls makes it best to understand how our Atlas servers get accessed.	10 months ago
Guy Korland	7f8fd70ac4	Add optional arguments to FalkorDBGraph constructor (#13459 ) Description: Add optional arguments to FalkorDBGraph constructor Tag maintainer: baskaryan Twitter handle: @g_korland	10 months ago
chris stucchio	d7f014cd89	Bug: OpenAIFunctionsAgentOutputParser doesn't handle functions with no args (#13467 ) Description/Issue: When OpenAI calls a function with no args, the args are `""` rather than `"{}"`. Then `json.loads("")` blows up. This PR handles it correctly. Dependencies: None	10 months ago
Yujie Qian	41a433fa33	IMPROVEMENT: add input_type to VoyageEmbeddings (#13488 ) - Description: add input_type to VoyageEmbeddings	10 months ago
David Duong	ea6e017b85	Add serialisation arguments to Bedrock and ChatBedrock (#13465 )	10 months ago
Erick Friis	427331d621	IMPROVEMENT Lock pydantic v1 in app template, cli 0.0.18 (#13485 )	10 months ago
Erick Friis	75363f048f	BUG Fix app_name in cli app new (#13482 )	10 months ago
ifduyue	324ab382ad	Use List instead of list (#13443 ) Unify List usages in libs/langchain/langchain/text_splitter.py, only one place it's `list`, all other ocurrences are `List`	10 months ago
Stefano Lottini	b029d9f4e6	Astra DB: minor improvements to docstrings and demo notebook (#13449 ) This PR brings a few minor improvements to the docs, namely class/method docstrings and the demo notebook. - A note on how to control concurrency levels to tune performance in bulk inserts, both in the class docstring and the demo notebook; - Slightly increased concurrency defaults after careful experimentation (still on the conservative side even for clients running on less-than-typical network/hardware specs) - renamed the DB token variable to the standardized `ASTRA_DB_APPLICATION_TOKEN` name (used elsewhere, e.g. in the Astra DB docs) - added a note and a reference (add_text docstring, demo notebook) on allowed metadata field names. Thank you!	10 months ago
Eugene Yurtsev	1e43fd6afe	Add ahandle_event to _all_ (#13469 ) Add ahandle_event for backwards compatibility as it is used by langserve	10 months ago
Harrison Chase	f90249305a	callback refactor (#13372 ) Co-authored-by: Nuno Campos <nuno@boringbits.io>	10 months ago
Bagatur	a9b2c943e6	bump 336, exp 44 (#13420 )	10 months ago
Bagatur	1372296dc8	FIX: Infer runnable agent single or multi action (#13412 )	10 months ago
Eugene Yurtsev	accadccf8e	Use secretstr for api keys for javelin-ai-gateway (#13417 ) - Make javelin_ai_gateway_api_key a SecretStr --------- Co-authored-by: Hiroshi Tashiro <hiroshitash@gmail.com>	10 months ago
William FH	ba501b27a0	Fix Runnable Lambda Afunc Repr (#13413 ) Otherwise, you get an error when using async functions. h/t to Chris Ruppelt	10 months ago
Sumukh Sridhara	1726d5dcdd	Merge pull request #13232 * PGVector needs to close its connection if its garbage collected	10 months ago
Nuno Campos	85a77d2c27	IMPROVEMENT Passthrough kwargs in runnable lambda (#13405 ) <!-- Thank you for contributing to LangChain! Replace this entire comment with: - Description: a description of the change, - Issue: the issue # it fixes (if applicable), - Dependencies: any dependencies required for this change, - Tag maintainer: for a quicker response, tag the relevant maintainer (see below), - Twitter handle: we announce bigger features on Twitter. If your PR gets announced, and you'd like a mention, we'll gladly shout you out! Please make sure your PR is passing linting and testing before submitting. Run `make format`, `make lint` and `make test` to check this locally. See contribution guidelines for more information on how to write/run tests, lint, etc: https://github.com/langchain-ai/langchain/blob/master/.github/CONTRIBUTING.md If you're adding a new integration, please include: 1. a test for the integration, preferably unit tests that do not rely on network access, 2. an example notebook showing its use. It lives in `docs/extras` directory. If no one reviews your PR within a few days, please @-mention one of @baskaryan, @eyurtsev, @hwchase17. -->	10 months ago
Bagatur	76c317ed78	DOCS: update rag use case (#13319 )	10 months ago
Clay Elmore	8823e3831f	FEAT Bedrock cohere embedding support (#13366 ) - Description: adding cohere embedding support to bedrock embedding class - Issue: N/A - Dependencies: None - Tag maintainer: @3coins - Twitter handle: celmore25 --------- Co-authored-by: Erick Friis <erick@langchain.dev>	10 months ago
Nuno Campos	d5aeff706a	Make it easier to subclass RunnableEach (#13346 ) <!-- Thank you for contributing to LangChain! Replace this entire comment with: - Description: a description of the change, - Issue: the issue # it fixes (if applicable), - Dependencies: any dependencies required for this change, - Tag maintainer: for a quicker response, tag the relevant maintainer (see below), - Twitter handle: we announce bigger features on Twitter. If your PR gets announced, and you'd like a mention, we'll gladly shout you out! Please make sure your PR is passing linting and testing before submitting. Run `make format`, `make lint` and `make test` to check this locally. See contribution guidelines for more information on how to write/run tests, lint, etc: https://github.com/langchain-ai/langchain/blob/master/.github/CONTRIBUTING.md If you're adding a new integration, please include: 1. a test for the integration, preferably unit tests that do not rely on network access, 2. an example notebook showing its use. It lives in `docs/extras` directory. If no one reviews your PR within a few days, please @-mention one of @baskaryan, @eyurtsev, @hwchase17. -->	10 months ago
竹内謙太	3b5e8bacfa	FEAT Add some properties to NotionDBLoader (#13358 ) <!-- Thank you for contributing to LangChain! Replace this entire comment with: - Description: a description of the change, - Issue: the issue # it fixes (if applicable), - Dependencies: any dependencies required for this change, - Tag maintainer: for a quicker response, tag the relevant maintainer (see below), - Twitter handle: we announce bigger features on Twitter. If your PR gets announced, and you'd like a mention, we'll gladly shout you out! Please make sure your PR is passing linting and testing before submitting. Run `make format`, `make lint` and `make test` to check this locally. See contribution guidelines for more information on how to write/run tests, lint, etc: https://github.com/langchain-ai/langchain/blob/master/.github/CONTRIBUTING.md If you're adding a new integration, please include: 1. a test for the integration, preferably unit tests that do not rely on network access, 2. an example notebook showing its use. It lives in `docs/extras` directory. If no one reviews your PR within a few days, please @-mention one of @baskaryan, @eyurtsev, @hwchase17. --> fix #13356 Add supports following properties for metadata to NotionDBLoader. - `checkbox` - `email` - `number` - `select` There are no relevant tests for this code to be updated.	10 months ago
Fielding Johnston	37eb44c591	BUG Add limit_to_domains to APIChain based tools (#13367 ) - Description: Adds `limit_to_domains` param to the APIChain based tools (open_meteo, TMDB, podcast_docs, and news_api) - Issue: I didn't open an issue, but after upgrading to 0.0.328 using these tools would throw an error. - Dependencies: N/A - Tag maintainer: @baskaryan Note: I included the trailing / simply because the docs here did `fc886cc303/docs/docs/use_cases/apis.ipynb (L246)` , but I checked the code and it is using `urlparse`. SoI followed the docs since it comes down to stylee.	10 months ago

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