1926 Commits (41b3968d39d35813afead5678b1fbd378ea6d674)

Author	SHA1	Message	Date
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