langchain

Commit Graph

Author	SHA1	Message	Date
Harrison Chase	a775aa6389	Harrison/vertex (#5049 ) Co-authored-by: Leonid Kuligin <kuligin@google.com> Co-authored-by: Leonid Kuligin <lkuligin@yandex.ru> Co-authored-by: sasha-gitg <44654632+sasha-gitg@users.noreply.github.com> Co-authored-by: Justin Flick <Justinjayflick@gmail.com> Co-authored-by: Justin Flick <jflick@homesite.com>	1 year ago
Zander Chase	e76e68b211	Add Delete Session Method (#5193 )	1 year ago
Alon Diament	44abe925df	Add Joplin document loader (#5153 ) # Add Joplin document loader [Joplin](https://joplinapp.org/) is an open source note-taking app. Joplin has a [REST API](https://joplinapp.org/api/references/rest_api/) for accessing its local database. The proposed `JoplinLoader` uses the API to retrieve all notes in the database and their metadata. Joplin needs to be installed and running locally, and an access token is required. - The PR includes an integration test. - The PR includes an example notebook. --------- Co-authored-by: Dev 2049 <dev.dev2049@gmail.com>	1 year ago
Davis Chase	2b2176a3c1	tfidf retriever (#5114 ) Co-authored-by: vempaliakhil96 <vempaliakhil96@gmail.com>	1 year ago
Harrison Chase	11c26ebb55	Harrison/modelscope (#5156 ) Co-authored-by: thomas-yanxin <yx20001210@163.com> Co-authored-by: Dev 2049 <dev.dev2049@gmail.com>	1 year ago
Nolan Tremelling	faa26650c9	Beam (#4996 ) # Beam Calls the Beam API wrapper to deploy and make subsequent calls to an instance of the gpt2 LLM in a cloud deployment. Requires installation of the Beam library and registration of Beam Client ID and Client Secret. Additional calls can then be made through the instance of the large language model in your code or by calling the Beam API. --------- Co-authored-by: Dev 2049 <dev.dev2049@gmail.com>	1 year ago
Ofer Mendelevitch	c81fb88035	Vectara (#5069 ) # Vectara Integration This PR provides integration with Vectara. Implemented here are: * langchain/vectorstore/vectara.py * tests/integration_tests/vectorstores/test_vectara.py * langchain/retrievers/vectara_retriever.py And two IPYNB notebooks to do more testing: * docs/modules/chains/index_examples/vectara_text_generation.ipynb * docs/modules/indexes/vectorstores/examples/vectara.ipynb --------- Co-authored-by: Dev 2049 <dev.dev2049@gmail.com>	1 year ago
Daniel King	de6e6c764e	Add MosaicML inference endpoints (#4607 ) # Add MosaicML inference endpoints This PR adds support in langchain for MosaicML inference endpoints. We both serve a select few open source models, and allow customers to deploy their own models using our inference service. Docs are here (https://docs.mosaicml.com/en/latest/inference.html), and sign up form is here (https://forms.mosaicml.com/demo?utm_source=langchain). I'm not intimately familiar with the details of langchain, or the contribution process, so please let me know if there is anything that needs fixing or this is the wrong way to submit a new integration, thanks! I'm also not sure what the procedure is for integration tests. I have tested locally with my api key. ## Who can review? @hwchase17 --------- Co-authored-by: Harrison Chase <hw.chase.17@gmail.com>	1 year ago
Jeff Vestal	0b542a9706	Add ElasticsearchEmbeddings class for generating embeddings using Elasticsearch models (#3401 ) This PR introduces a new module, `elasticsearch_embeddings.py`, which provides a wrapper around Elasticsearch embedding models. The new ElasticsearchEmbeddings class allows users to generate embeddings for documents and query texts using a [model deployed in an Elasticsearch cluster](https://www.elastic.co/guide/en/machine-learning/current/ml-nlp-model-ref.html#ml-nlp-model-ref-text-embedding). ### Main features: 1. The ElasticsearchEmbeddings class initializes with an Elasticsearch connection object and a model_id, providing an interface to interact with the Elasticsearch ML client through [infer_trained_model](https://elasticsearch-py.readthedocs.io/en/v8.7.0/api.html?highlight=trained%20model%20infer#elasticsearch.client.MlClient.infer_trained_model) . 2. The `embed_documents()` method generates embeddings for a list of documents, and the `embed_query()` method generates an embedding for a single query text. 3. The class supports custom input text field names in case the deployed model expects a different field name than the default `text_field`. 4. The implementation is compatible with any model deployed in Elasticsearch that generates embeddings as output. ### Benefits: 1. Simplifies the process of generating embeddings using Elasticsearch models. 2. Provides a clean and intuitive interface to interact with the Elasticsearch ML client. 3. Allows users to easily integrate Elasticsearch-generated embeddings. Related issue https://github.com/hwchase17/langchain/issues/3400 --------- Co-authored-by: Dev 2049 <dev.dev2049@gmail.com>	1 year ago
Jettro Coenradie	b950022894	Fixes issue #5072 - adds additional support to Weaviate (#5085 ) Implementation is similar to search_distance and where_filter # adds 'additional' support to Weaviate queries Co-authored-by: Dev 2049 <dev.dev2049@gmail.com>	1 year ago
Matt Rickard	de6a401a22	Add OpenLM LLM multi-provider (#4993 ) OpenLM is a zero-dependency OpenAI-compatible LLM provider that can call different inference endpoints directly via HTTP. It implements the OpenAI Completion class so that it can be used as a drop-in replacement for the OpenAI API. This changeset utilizes BaseOpenAI for minimal added code. --------- Co-authored-by: Dev 2049 <dev.dev2049@gmail.com>	1 year ago
Gergely Imreh	69de33e024	Add Mastodon toots loader (#5036 ) # Add Mastodon toots loader. Loader works either with public toots, or Mastodon app credentials. Toot text and user info is loaded. I've also added integration test for this new loader as it works with public data, and a notebook with example output run now. --------- Co-authored-by: Dev 2049 <dev.dev2049@gmail.com>	1 year ago
Donger	039f8f1abb	Add the usage of SSL certificates for Elasticsearch and user password authentication (#5058 ) Enhance the code to support SSL authentication for Elasticsearch when using the VectorStore module, as previous versions did not provide this capability. @dev2049 --------- Co-authored-by: caidong <zhucaidong1992@gmail.com> Co-authored-by: Dev 2049 <dev.dev2049@gmail.com>	1 year ago
Harrison Chase	10ba201d05	Harrison/neo4j (#5078 ) Co-authored-by: Tomaz Bratanic <bratanic.tomaz@gmail.com> Co-authored-by: Dev 2049 <dev.dev2049@gmail.com>	1 year ago
Zander Chase	785502edb3	Add 'get_token_ids' method (#4784 ) Let user inspect the token ids in addition to getting th enumber of tokens --------- Co-authored-by: Zach Schillaci <40636930+zachschillaci27@users.noreply.github.com>	1 year ago
Matt Robinson	bf3f554357	feat: batch multiple files in a single Unstructured API request (#4525 ) ### Submit Multiple Files to the Unstructured API Enables batching multiple files into a single Unstructured API requests. Support for requests with multiple files was added to both `UnstructuredAPIFileLoader` and `UnstructuredAPIFileIOLoader`. Note that if you submit multiple files in "single" mode, the result will be concatenated into a single document. We recommend using this feature in "elements" mode. ### Testing The following should load both documents, using two of the example docs from the integration tests folder. ```python from langchain.document_loaders import UnstructuredAPIFileLoader file_paths = ["examples/layout-parser-paper.pdf", "examples/whatsapp_chat.txt"] loader = UnstructuredAPIFileLoader( file_paths=file_paths, api_key="FAKE_API_KEY", strategy="fast", mode="elements", ) docs = loader.load() ```	1 year ago
Davis Chase	080eb1b3fc	Fix graphql tool (#4984 ) Fix construction and add unit test.	1 year ago
Eugene Yurtsev	0ff59569dc	Adds 'IN' metadata filter for pgvector for checking set presence (#4982 ) # Adds "IN" metadata filter for pgvector to all checking for set presence PGVector currently supports metadata filters of the form: ``` {"filter": {"key": "value"}} ``` which will return documents where the "key" metadata field is equal to "value". This PR adds support for metadata filters of the form: ``` {"filter": {"key": { "IN" : ["list", "of", "values"]}}} ``` Other vector stores support this via an "$in" syntax. I chose to use "IN" to match postgres' syntax, though happy to switch. Tested locally with PGVector and ChatVectorDBChain. @dev2049 --------- Co-authored-by: jade@spanninglabs.com <jade@spanninglabs.com>	1 year ago
Eugene Yurtsev	06e524416c	power bi api wrapper integration tests & bug fix (#4983 ) # Powerbi API wrapper bug fix + integration tests - Bug fix by removing `TYPE_CHECKING` in in utilities/powerbi.py - Added integration test for power bi api in utilities/test_powerbi_api.py - Added integration test for power bi agent in agent/test_powerbi_agent.py - Edited .env.examples to help set up power bi related environment variables - Updated demo notebook with working code in docs../examples/powerbi.ipynb - AzureOpenAI -> ChatOpenAI Notes: Chat models (gpt3.5, gpt4) are much more capable than davinci at writing DAX queries, so that is important to getting the agent to work properly. Interestingly, gpt3.5-turbo needed the examples=DEFAULT_FEWSHOT_EXAMPLES to write consistent DAX queries, so gpt4 seems necessary as the smart llm. Fixes #4325 ## Before submitting Azure-core and Azure-identity are necessary dependencies check integration tests with the following: `pytest tests/integration_tests/utilities/test_powerbi_api.py` `pytest tests/integration_tests/agent/test_powerbi_agent.py` You will need a power bi account with a dataset id + table name in order to test. See .env.examples for details. ## Who can review? @hwchase17 @vowelparrot --------- Co-authored-by: aditya-pethe <adityapethe1@gmail.com>	1 year ago
Davis Chase	55baa0d153	Update redis integration tests (#4937 )	1 year ago
Harrison Chase	c9a362e482	add alias for model (#4553 ) Co-authored-by: Dev 2049 <dev.dev2049@gmail.com>	1 year ago
Harrison Chase	9e2227ba11	Harrison/serper api bug (#4902 ) Co-authored-by: Jerry Luan <xmaswillyou@gmail.com>	1 year ago
Eugene Yurtsev	0dc304ca80	Add html parsers (#4874 ) # Add bs4 html parser * Some minor refactors * Extract the bs4 html parsing code from the bs html loader * Move some tests from integration tests to unit tests	1 year ago
yujiosaka	2f8eb95a91	Remove unnecessary comment (#4845 ) # Remove unnecessary comment Remove unnecessary comment accidentally included in #4800 ## Before submitting - no test - no document ## Who can review? Community members can review the PR once tests pass. Tag maintainers/contributors who might be interested:	1 year ago
yujiosaka	6561efebb7	Accept uuids kwargs for weaviate (#4800 ) # Accept uuids kwargs for weaviate Fixes #4791	1 year ago
Magnus Friberg	d126276693	Specify which data to return from chromadb (#4393 ) # Improve the Chroma get() method by adding the optional "include" parameter. The Chroma get() method excludes embeddings by default. You can customize the response by specifying the "include" parameter to selectively retrieve the desired data from the collection. --------- Co-authored-by: Dev 2049 <dev.dev2049@gmail.com>	1 year ago
Raduan Al-Shedivat	00c6ec8a2d	fix(document_loaders/telegram): fix pandas calls + add tests (#4806 ) # Fix Telegram API loader + add tests. I was testing this integration and it was broken with next error: ```python message_threads = loader._get_message_threads(df) KeyError: False ``` Also, this particular loader didn't have any tests / related group in poetry, so I added those as well. @hwchase17 / @eyurtsev please take a look on this fix PR. --------- Co-authored-by: Dev 2049 <dev.dev2049@gmail.com>	1 year ago
了空	f7e3d97b19	Remove unnecessary spaces from document object’s page_content of BiliBiliLoader (#4619 ) - Remove unnecessary spaces from document object’s page_content of BiliBiliLoader - Fix BiliBiliLoader document and test file	1 year ago
Harrison Chase	a7af32c274	Cassandra support for chat history (#4378 ) (#4764 ) # Cassandra support for chat history ### Description - Store chat messages in cassandra ### Dependency - cassandra-driver - Python Module ## Before submitting - Added Integration Test ## Who can review? @hwchase17 @agola11 # Your PR Title (What it does) <!-- Thank you for contributing to LangChain! Your PR will appear in our next release under the title you set. Please make sure it highlights your valuable contribution. Replace this with a description of the change, the issue it fixes (if applicable), and relevant context. List any dependencies required for this change. After you're done, someone will review your PR. They may suggest improvements. If no one reviews your PR within a few days, feel free to @-mention the same people again, as notifications can get lost. --> <!-- Remove if not applicable --> Fixes # (issue) ## Before submitting <!-- If you're adding a new integration, include an integration test and an example notebook showing its use! --> ## Who can review? Community members can review the PR once tests pass. Tag maintainers/contributors who might be interested: <!-- For a quicker response, figure out the right person to tag with @ @hwchase17 - project lead Tracing / Callbacks - @agola11 Async - @agola11 DataLoaders - @eyurtsev Models - @hwchase17 - @agola11 Agents / Tools / Toolkits - @vowelparrot VectorStores / Retrievers / Memory - @dev2049 --> Co-authored-by: Jinto Jose <129657162+jj701@users.noreply.github.com>	1 year ago
Anirudh Suresh	03ac39368f	Fixing DeepLake Overwrite Flag (#4683 ) # Fix DeepLake Overwrite Flag Issue Fixes Issue #4682: essentially, setting overwrite to False in the DeepLake constructor still triggers an overwrite, because the logic is just checking for the presence of "overwrite" in kwargs. The fix is simple--just add some checks to inspect if "overwrite" in kwargs AND kwargs["overwrite"]==True. Added a new test in tests/integration_tests/vectorstores/test_deeplake.py to reflect the desired behavior. Co-authored-by: Anirudh Suresh <ani@Anirudhs-MBP.cable.rcn.com> Co-authored-by: Anirudh Suresh <ani@Anirudhs-MacBook-Pro.local> Co-authored-by: Dev 2049 <dev.dev2049@gmail.com>	1 year ago
whuwxl	3f0357f94a	Add summarization task type for HuggingFace APIs (#4721 ) # Add summarization task type for HuggingFace APIs Add summarization task type for HuggingFace APIs. This task type is described by [HuggingFace inference API](https://huggingface.co/docs/api-inference/detailed_parameters#summarization-task) My project utilizes LangChain to connect multiple LLMs, including various HuggingFace models that support the summarization task. Integrating this task type is highly convenient and beneficial. Fixes #4720	1 year ago
Roma	cb802edf75	[Feature] Add GraphQL Query Tool (#4409 ) # Add GraphQL Query Support This PR introduces a GraphQL API Wrapper tool that allows LLM agents to query GraphQL databases. The tool utilizes the httpx and gql Python packages to interact with GraphQL APIs and provides a simple interface for running queries with LLM agents. @vowelparrot --------- Co-authored-by: Dev 2049 <dev.dev2049@gmail.com>	1 year ago
Lester Yang	cd3f9865f3	Feature: pdfplumber PDF loader with BaseBlobParser (#4552 ) # Feature: pdfplumber PDF loader with BaseBlobParser * Adds pdfplumber as a PDF loader * Adds pdfplumber as a blob parser.	1 year ago
Harrison Chase	b6e3ac17c4	Harrison/sitemap local (#4704 ) Co-authored-by: Lukas Bauer <lukas.bauer@mayflower.de>	1 year ago
Harrison Chase	12b4ee1fc7	Harrison/telegram chat loader (#4698 ) Co-authored-by: Akinwande Komolafe <47945512+Sensei-akin@users.noreply.github.com> Co-authored-by: Akinwande Komolafe <akhinoz@gmail.com>	1 year ago
Leonid Ganeline	e17d0319d5	Add `arxiv` retriever (#4538 )	1 year ago
SimFG	7bcf238a1a	Optimize the initialization method of GPTCache (#4522 ) Optimize the initialization method of GPTCache, so that users can use GPTCache more quickly.	1 year ago
kYLe	0d51a1f12b	Add LLMs support for Anyscale Service (#4350 ) Add Anyscale service integration under LLM Co-authored-by: Dev 2049 <dev.dev2049@gmail.com>	1 year ago
Evan Jones	f668251948	parameterized distance metrics; lint; format; tests (#4375 ) # Parameterize Redis vectorstore index Redis vectorstore allows for three different distance metrics: `L2` (flat L2), `COSINE`, and `IP` (inner product). Currently, the `Redis._create_index` method hard codes the distance metric to COSINE. I've parameterized this as an argument in the `Redis.from_texts` method -- pretty simple. Fixes #4368 ## Before submitting I've added an integration test showing indexes can be instantiated with all three values in the `REDIS_DISTANCE_METRICS` literal. An example notebook seemed overkill here. Normal API documentation would be more appropriate, but no standards are in place for that yet. ## Who can review? Not sure who's responsible for the vectorstore module... Maybe @eyurtsev / @hwchase17 / @agola11 ?	1 year ago
Davis Chase	9ec60ad832	Add azure cognitive search retriever (#4467 ) All credit to @UmerHA, made a couple small changes --------- Co-authored-by: UmerHA <40663591+UmerHA@users.noreply.github.com>	1 year ago
Davis Chase	46b100ea63	Add DocArray vector stores (#4483 ) Thanks to @anna-charlotte and @jupyterjazz for the contribution! Made few small changes to get it across the finish line --------- Signed-off-by: anna-charlotte <charlotte.gerhaher@jina.ai> Signed-off-by: jupyterjazz <saba.sturua@jina.ai> Co-authored-by: anna-charlotte <charlotte.gerhaher@jina.ai> Co-authored-by: jupyterjazz <saba.sturua@jina.ai> Co-authored-by: Saba Sturua <45267439+jupyterjazz@users.noreply.github.com>	1 year ago
Harrison Chase	b2f920e891	add tracing v2 env var (#4465 ) Co-authored-by: Ankush Gola <ankush.gola@gmail.com>	1 year ago
Matt Robinson	3637d6da6e	feat: add loader for open office odt files (#4405 ) # ODF File Loader Adds a data loader for handling Open Office ODT files. Requires `unstructured>=0.6.3`. ### Testing The following should work using the `fake.odt` example doc from the [`unstructured` repo](https://github.com/Unstructured-IO/unstructured). ```python from langchain.document_loaders import UnstructuredODTLoader loader = UnstructuredODTLoader(file_path="fake.odt", mode="elements") loader.load() loader = UnstructuredODTLoader(file_path="fake.odt", mode="single") loader.load() ```	1 year ago
Rukmani	2b14036126	Update WhatsAppChatLoader to include the character ~ in the sender name (#4420 ) Fixes #4153 If the sender of a message in a group chat isn't in your contact list, they will appear with a ~ prefix in the exported chat. This PR adds support for parsing such lines.	1 year ago
Aivin V. Solatorio	6335cb5b3a	Add support for Qdrant nested filter (#4354 ) # Add support for Qdrant nested filter This extends the filter functionality for the Qdrant vectorstore. The current filter implementation is limited to a single-level metadata structure; however, Qdrant supports nested metadata filtering. This extends the functionality for users to maximize the filter functionality when using Qdrant as the vectorstore. Reference: https://qdrant.tech/documentation/filtering/#nested-key --------- Signed-off-by: Aivin V. Solatorio <avsolatorio@gmail.com>	1 year ago
Martin Holzhauer	872605a5c5	Add an option to extract more metadata from crawled websites (#4347 ) This pr makes it possible to extract more metadata from websites for later use. my usecase: parsing ld+json or microdata from sites and store it as structured data in the metadata field	1 year ago
Leonid Ganeline	ce15ffae6a	added `Wikipedia` retriever (#4302 ) - added `Wikipedia` retriever. It is effectively a wrapper for `WikipediaAPIWrapper`. It wrapps load() into get_relevant_documents() - sorted `__all__` in the `retrievers/__init__` - added integration tests for the WikipediaRetriever - added an example (as Jupyter notebook) for the WikipediaRetriever	1 year ago
Eugene Yurtsev	2ceb807da2	Add PDF parser implementations (#4356 ) # Add PDF parser implementations This PR separates the data loading from the parsing for a number of existing PDF loaders. Parser tests have been designed to help encourage developers to create a consistent interface for parsing PDFs. This interface can be made more consistent in the future by adding information into the initializer on desired behavior with respect to splitting by page etc. This code is expected to be backwards compatible -- with the exception of a bug fix with pymupdf parser which was returning `bytes` in the page content rather than strings. Also changing the lazy parser method of document loader to return an Iterator rather than Iterable over documents. ## Before submitting <!-- If you're adding a new integration, include an integration test and an example notebook showing its use! --> ## Who can review? Community members can review the PR once tests pass. Tag maintainers/contributors who might be interested: @ <!-- For a quicker response, figure out the right person to tag with @ @hwchase17 - project lead Tracing / Callbacks - @agola11 Async - @agola11 DataLoader Abstractions - @eyurtsev LLM/Chat Wrappers - @hwchase17 - @agola11 Tools / Toolkits - @vowelparrot -->	1 year ago
Davis Chase	ba0057c077	Check OpenAI model kwargs (#4366 ) Handle duplicate and incorrectly specified OpenAI params Thanks @PawelFaron for the fix! Made small update Closes #4331 --------- Co-authored-by: PawelFaron <42373772+PawelFaron@users.noreply.github.com> Co-authored-by: Pawel Faron <ext-pawel.faron@vaisala.com>	1 year ago
Davis Chase	02ebb15c4a	Fix TextSplitter.from_tiktoken(#4361 ) Thanks to @danb27 for the fix! Minor update Fixes https://github.com/hwchase17/langchain/issues/4357 --------- Co-authored-by: Dan Bianchini <42096328+danb27@users.noreply.github.com>	1 year ago

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