langchain

Commit Graph

Author	SHA1	Message	Date
Charles Lanahan	a2588d6c57	Update openai embeddings notebook with correct embedding model in section 2 (#5831 ) In second section it looks like a copy/paste from the first section and doesn't include the specific embedding model mentioned in the example so I added it for clarity. --------- Co-authored-by: Bagatur <baskaryan@gmail.com>	1 year ago
Josh Phillips	5fc07fa524	change id column type to uuid to match function (#7456 ) The table creation process in these examples commands do not match what the recently updated functions in these example commands is looking for. This change updates the type in the table creation command. Issue Number for my report of the doc problem #7446 @rlancemartin and @eyurtsev I believe this is your area Twitter: @j1philli Co-authored-by: Bagatur <baskaryan@gmail.com>	1 year ago
Bidhan Roy	02430e25b6	BagelDB (bageldb.ai), VectorStore integration. (#8971 ) - Description: [BagelDB](bageldb.ai) a collaborative vector database. Integrated the bageldb PyPi package with langchain with related tests and code. - Issue: Not applicable. - Dependencies: `betabageldb` PyPi package. - Tag maintainer: @rlancemartin, @eyurtsev, @baskaryan - Twitter handle: bageldb_ai (https://twitter.com/BagelDB_ai) We ran `make format`, `make lint` and `make test` locally. Followed the contribution guideline thoroughly https://github.com/hwchase17/langchain/blob/master/.github/CONTRIBUTING.md --------- Co-authored-by: Towhid1 <nurulaktertowhid@gmail.com>	1 year ago
Harrison Chase	bb6fbf4c71	openai adapters (#8988 ) Co-authored-by: Eugene Yurtsev <eyurtsev@gmail.com> Co-authored-by: Nuno Campos <nuno@boringbits.io>	1 year ago
Piyush Jain	8eea46ed0e	Bedrock embeddings async methods (#9024 ) ## Description This PR adds the `aembed_query` and `aembed_documents` async methods for improving the embeddings generation for large documents. The implementation uses asyncio tasks and gather to achieve concurrency as there is no bedrock async API in boto3. ### Maintainers @agola11 @aarora79 ### Open questions To avoid throttling from the Bedrock API, should there be an option to limit the concurrency of the calls?	1 year ago
Nicolas	e3fb11bc10	docs: (Mendable Search) Fixes stuck when tabbing out issue (#9074 ) This fixes Mendable not completing when tabbing out and fixes the duplicate message issue as well.	1 year ago
Bagatur	1edead28b8	Add docs community page (#8992 ) Co-authored-by: briannawolfson <brianna.wolfson@gmail.com>	1 year ago
Eugene Yurtsev	a5a4c53280	RedisStore: Update init and Documentation updates (#9044 ) * Update Redis Store to support init from parameters * Update notebook to show how to use redis store, and some fixes in documentation	1 year ago
Bagatur	f3f5853e9f	update api ref exampels (#9065 ) manually update for now	1 year ago
Blake (Yung Cher Ho)	8d351bfc20	Takeoff integration (#9045 ) ## Description: This PR adds the Titan Takeoff Server to the available LLMs in LangChain. Titan Takeoff is an inference server created by [TitanML](https://www.titanml.co/) that allows you to deploy large language models locally on your hardware in a single command. Most generative model architectures are included, such as Falcon, Llama 2, GPT2, T5 and many more. Read more about Titan Takeoff here: - [Blog](https://medium.com/@TitanML/introducing-titan-takeoff-6c30e55a8e1e) - [Docs](https://docs.titanml.co/docs/titan-takeoff/getting-started) #### Testing As Titan Takeoff runs locally on port 8000 by default, no network access is needed. Responses are mocked for testing. - [x] Make Lint - [x] Make Format - [x] Make Test #### Dependencies No new dependencies are introduced. However, users will need to install the titan-iris package in their local environment and start the Titan Takeoff inferencing server in order to use the Titan Takeoff integration. Thanks for your help and please let me know if you have any questions. cc: @hwchase17 @baskaryan	1 year ago
Aashish Saini	8a320e55a0	Corrected grammatical errors and spelling mistakes in the index.mdx file. (#9026 ) Expressing gratitude to the creator for crafting this remarkable application. 🙌, Would like to Enhance grammar and spelling in the documentation for a polished reader experience. Your feedback is valuable as always @baskaryan , @hwchase17 , @eyurtsev	1 year ago
Eugene Yurtsev	5e05ba2140	Add embeddings cache (#8976 ) This PR adds the ability to temporarily cache or persistently store embeddings. A notebook has been included showing how to set up the cache and how to use it with a vectorstore.	1 year ago
Lance Martin	2380492c8e	API use case (#8546 ) Co-authored-by: Bagatur <baskaryan@gmail.com>	1 year ago
Luca Foppiano	dfb93dd2b5	Improved grobid documentation (#9025 ) - Description: Improvement in the Grobid loader documentation, typos and suggesting to use the docker image instead of installing Grobid in local (the documentation was also limited to Mac, while docker allow running in any platform) - Tag maintainer: @rlancemartin, @eyurtsev - Twitter handle: @whitenoise	1 year ago
Hiroshige Umino	2c7297d243	Fix a broken code block display (#9034 ) - Description: Fix a broken code block in this page: https://python.langchain.com/docs/modules/model_io/prompts/prompt_templates/ - Issue: N/A - Dependencies: None - Tag maintainer: @baskaryan - Twitter handle: yaotti	1 year ago
Piyush Jain	3b51817706	Updating port and ssl use in sample notebook (#8995 ) ## Description This PR updates the sample notebook to use the default port (8182) and the ssl for the Neptune database connection.	1 year ago
Michael Shen	c2f46b2cdb	Fixed wrong paper reference (#8970 ) The ReAct reference references to MRKL paper. Corrected so that it points to the actual ReAct paper #8964.	1 year ago
Jerzy Czopek	539672a7fd	Feature/fix azureopenai model mappings (#8621 ) This pull request aims to ensure that the `OpenAICallbackHandler` can properly calculate the total cost for Azure OpenAI chat models. The following changes have resolved this issue: - The `model_name` has been added to the ChatResult llm_output. Without this, the default values of `gpt-35-turbo` were applied. This was causing the total cost for Azure OpenAI's GPT-4 to be significantly inaccurate. - A new parameter `model_version` has been added to `AzureChatOpenAI`. Azure does not include the model version in the response. With the addition of `model_name`, this is not a significant issue for GPT-4 models, but it's an issue for GPT-3.5-Turbo. Version 0301 (default) of GPT-3.5-Turbo on Azure has a flat rate of 0.002 per 1k tokens for both prompt and completion. However, version 0613 introduced a split in pricing for prompt and completion tokens. - The `OpenAICallbackHandler` implementation has been updated with the proper model names, versions, and cost per 1k tokens. Unit tests have been added to ensure the functionality works as expected; the Azure ChatOpenAI notebook has been updated with examples. Maintainers: @hwchase17, @baskaryan Twitter handle: @jjczopek --------- Co-authored-by: Jerzy Czopek <jerzy.czopek@avanade.com> Co-authored-by: Bagatur <baskaryan@gmail.com>	1 year ago
Harrison Chase	7de6a1b78e	parent document retriever (#8941 )	1 year ago
arjunbansal	a2681f950d	add instructions on integrating Log10 (#8938 ) - Description: Instruction for integration with Log10: an [open source](https://github.com/log10-io/log10) proxiless LLM data management and application development platform that lets you log, debug and tag your Langchain calls - Tag maintainer: @baskaryan - Twitter handle: @log10io @coffeephoenix Several examples showing the integration included [here](https://github.com/log10-io/log10/tree/main/examples/logging) and in the PR	1 year ago
Aarav Borthakur	3f64b8a761	Integrate Rockset as a chat history store (#8940 ) Description: Adds Rockset as a chat history store Dependencies: no changes Tag maintainer: @hwchase17 This PR passes linting and testing. I added a test for the integration and an example notebook showing its use.	1 year ago
Bagatur	0a1be1d501	document lcel fallbacks (#8942 )	1 year ago
Molly Cantillon	99b5a7226c	Weaviate: adding auth example + fixing spelling in ReadME (#8939 ) Added basic auth example to Weaviate notebook @baskaryan	1 year ago
Joe Reuter	8f0cd91d57	Airbyte based loaders (#8586 ) This PR adds 8 new loaders: * `AirbyteCDKLoader` This reader can wrap and run all python-based Airbyte source connectors. * Separate loaders for the most commonly used APIs: * `AirbyteGongLoader` * `AirbyteHubspotLoader` * `AirbyteSalesforceLoader` * `AirbyteShopifyLoader` * `AirbyteStripeLoader` * `AirbyteTypeformLoader` * `AirbyteZendeskSupportLoader` ## Documentation and getting started I added the basic shape of the config to the notebooks. This increases the maintenance effort a bit, but I think it's worth it to make sure people can get started quickly with these important connectors. This is also why I linked the spec and the documentation page in the readme as these two contain all the information to configure a source correctly (e.g. it won't suggest using oauth if that's avoidable even if the connector supports it). ## Document generation The "documents" produced by these loaders won't have a text part (instead, all the record fields are put into the metadata). If a text is required by the use case, the caller needs to do custom transformation suitable for their use case. ## Incremental sync All loaders support incremental syncs if the underlying streams support it. By storing the `last_state` from the reader instance away and passing it in when loading, it will only load updated records. --------- Co-authored-by: Bagatur <baskaryan@gmail.com>	1 year ago
Harrison Chase	7543a3d70e	Harrison/image (#845 ) Co-authored-by: Ashutosh Sanzgiri <sanzgiri@gmail.com> Co-authored-by: Bagatur <baskaryan@gmail.com>	1 year ago
Leonid Ganeline	33a2f58fbf	`tensoflow_datasets` document loader (#8721 ) This PR adds `tensoflow_datasets` document loader	1 year ago
Leonid Ganeline	2d078c7767	`PubMed` document loader (#8893 ) - added `PubMed Document Loader` artifacts; ut-s; examples - fixed `PubMed utility`; ut-s @hwchase17	1 year ago
Jeremy W	c5c0735fc4	Remove Evaluation from Modules page (#8926 ) Remove Evaluation link (which gives 404 now) from Modules page, since it lives under Guides page now	1 year ago
Seif	6327eecdaf	Fix typo in Vectara docs (#8925 ) Fixed a typo in the Vectara docs description.	1 year ago
Chris Pappalardo	beab637f04	added filter kwarg to VectorStoreIndexWrapper query and query_with_so… (#8844 ) - Description: added filter to query methods in VectorStoreIndexWrapper for filtering by metadata (i.e. search_kwargs) - Tag maintainer: @rlancemartin, @eyurtsev Updated the doc snippet on this topic as well. It took me a long while to figure out how to filter the vectorstore by filename, so this might help someone else out. --------- Co-authored-by: Bagatur <baskaryan@gmail.com>	1 year ago
Apurv Agarwal	4a63533216	addition to docs at 'Store and reference chat history' (#8910 ) - Description: I have added an example showing how to pass a custom template to ConversationRetrievalChain. Instead of CONDENSE_QUESTION_PROMPT we can pass any prompt in the argument condense_question_prompt. Look in Use cases -> QA over Documents -> How to -> Store and reference chat history, - Issue: #8864, - Dependencies: NA, - Tag maintainer: @hinthornw, - Twitter handle: --------- Co-authored-by: Bagatur <baskaryan@gmail.com>	1 year ago
David vonThenen	bf4a112aa6	Fixes to the Nebula LLM Integration (#8918 ) This addresses some issues with introducing the Nebula LLM to LangChain in this PR: https://github.com/langchain-ai/langchain/pull/8876 This fixes the following: - Removes `SYMBLAI` from variable names - Fixes bug with `Bearer` for the API KEY Thanks again in advance for your help! cc: @hwchase17, @baskaryan --------- Co-authored-by: dvonthenen <david.vonthenen@gmail.com>	1 year ago
Jacob Lee	d1e305028f	Automatically set docs appearance to system default (#8924 ) @baskaryan	1 year ago
Josh Hart	6116cbf0de	Fix imports in awslambda docs (#8916 ) Minor doc fix to awslambda tool notebook. Add missing import for initialize_agent to awslambda agent example Co-authored-by: Josh Hart <josharj@amazon.com>	1 year ago
Maurits de Groot	61c2d918c6	Fixed inaccurate import in integrations:providers:bedrock documentation (#8915 ) Description: Fixed inaccurate import in integrations:providers:bedrock documentation In the current version of the bedrock documentation, page https://python.langchain.com/docs/integrations/providers/bedrock it states that the import is from langchain import Bedrock This has been changed to from langchain.llms.bedrock import Bedrock as stated in https://python.langchain.com/docs/integrations/llms/bedrock Issue: Not applicable Dependencies No dependencies required Tag maintainer @baskaryan Twitter handle: Not applicable	1 year ago
Manuel Soria	e74a605379	SQL use case docs (#8513 )	1 year ago
Jacob Lee	fa30a57034	Adds Ollama as an LLM (#8829 ) Adds Ollama as an LLM. Ollama can run various open source models locally e.g. Llama 2 and Vicuna, automatically configuring and GPU-optimizing them. @rlancemartin @hwchase17 --------- Co-authored-by: Lance Martin <lance@langchain.dev>	1 year ago
Ash Vardanian	1f9124ceaa	Add: USearch Vector Store (#8835 ) ## Description I am excited to propose an integration with USearch, a lightweight vector-search engine available for both Python and JavaScript, among other languages. ## Dependencies It introduces a new PyPi dependency - `usearch`. I am unsure if it must be added to the Poetry file, as this would make the PR too clunky. Please let me know. ## Profiles - Maintainers: @ashvardanian @davvard - Twitter handles: @ashvardanian @unum_cloud --------- Co-authored-by: Davit Vardanyan <78792753+davvard@users.noreply.github.com> Co-authored-by: Bagatur <baskaryan@gmail.com>	1 year ago
Leonid Kuligin	b52a3785c9	Allow to specify a custom loader for GcsFileLoader (#8868 ) Co-authored-by: Leonid Kuligin <kuligin@google.com>	1 year ago
Jeffrey Wang	ff44fe4e16	Change default Metaphor search example to use prompt optimizer (#8890 ) - fix install command - change example notebook to use Metaphor autoprompt by default <!-- Thank you for contributing to LangChain! Replace this 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 you're PR is passing linting and testing before submitting. Run `make format`, `make lint` and `make test` to check this locally. 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. Maintainer responsibilities: - General / Misc / if you don't know who to tag: @baskaryan - DataLoaders / VectorStores / Retrievers: @rlancemartin, @eyurtsev - Models / Prompts: @hwchase17, @baskaryan - Memory: @hwchase17 - Agents / Tools / Toolkits: @hinthornw - Tracing / Callbacks: @agola11 - Async: @agola11 If no one reviews your PR within a few days, feel free to @-mention the same people again. See contribution guidelines for more information on how to write/run tests, lint, etc: https://github.com/hwchase17/langchain/blob/master/.github/CONTRIBUTING.md -->	1 year ago
Jeffrey Wang	ce3666c28b	Fix metaphor install command in guide (#8888 )	1 year ago
Harrison Chase	bbd22b9b76	update metaphor docs (#8886 )	1 year ago
Carson	cc908d49a3	Fixes typo in documentation (#8882 ) Fixes a simple typo in the google search engine tool documentation @baskaryan	1 year ago
Joshua Sundance Bailey	7fc07ba5df	Create ChatAnyscale (#8770 ) - Description: Adds the ChatAnyscale class with llama-2 7b, llama-2 13b, and llama-2 70b on [Anyscale Endpoints](https://app.endpoints.anyscale.com/) - It inherits from ChatOpenAI and requires openai (probably unnecessary but it made for a quick and easy implementation) - Inspired by https://github.com/langchain-ai/langchain/pull/8434 (@kylehh and @baskaryan )	1 year ago
David vonThenen	40079d4936	Introduce Nebula LLM to LangChain (#8876 ) ## Description This PR adds Nebula to the available LLMs in LangChain. Nebula is an LLM focused on conversation understanding and enables users to extract conversation insights from video, audio, text, and chat-based conversations. These conversations can occur between any mix of human or AI participants. Examples of some questions you could ask Nebula from a given conversation are: - What could be the customer’s pain points based on the conversation? - What sales opportunities can be identified from this conversation? - What best practices can be derived from this conversation for future customer interactions? You can read more about Nebula here: https://symbl.ai/blog/extract-insights-symbl-ai-generative-ai-recall-ai-meetings/ #### Integration Test An integration test is added, but it requires network access. Since Nebula is fully managed like OpenAI, network access is required to exercise the integration test. #### Linting - [x] make lint - [x] make test (TODO: there seems to be a failure in another non-related test??? Need to check on this.) - [x] make format ### Dependencies No new dependencies were introduced. ### Twitter handle [@symbldotai](https://twitter.com/symbldotai) [@dvonthenen](https://twitter.com/dvonthenen) If you have any questions, please let me know. cc: @hwchase17, @baskaryan --------- Co-authored-by: dvonthenen <david.vonthenen@gmail.com> Co-authored-by: Bagatur <baskaryan@gmail.com>	1 year ago
Lance Martin	84c1ad7eaa	Fix colab link for extraction ntbk (#8878 ) <!-- Thank you for contributing to LangChain! Replace this 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 you're PR is passing linting and testing before submitting. Run `make format`, `make lint` and `make test` to check this locally. 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. Maintainer responsibilities: - General / Misc / if you don't know who to tag: @baskaryan - DataLoaders / VectorStores / Retrievers: @rlancemartin, @eyurtsev - Models / Prompts: @hwchase17, @baskaryan - Memory: @hwchase17 - Agents / Tools / Toolkits: @hinthornw - Tracing / Callbacks: @agola11 - Async: @agola11 If no one reviews your PR within a few days, feel free to @-mention the same people again. See contribution guidelines for more information on how to write/run tests, lint, etc: https://github.com/hwchase17/langchain/blob/master/.github/CONTRIBUTING.md -->	1 year ago
Nuno Campos	9892e95d03	Add flush=True to stream examples (#8862 )	1 year ago
manmax31	40096c73cd	Add BGE embeddings support (#8848 ) - Description: [BGE-large](https://huggingface.co/BAAI/bge-large-en) embeddings from BAAI are at the top of [MTEB leaderboard](https://huggingface.co/spaces/mteb/leaderboard). Hence adding support for it. - Tag maintainer: @baskaryan - Twitter handle: @ManabChetia3 --------- Co-authored-by: Harrison Chase <hw.chase.17@gmail.com>	1 year ago
Tudor Golubenco	aeaef8f3a3	Add support for Xata as a vector store (#8822 ) This adds support for [Xata](https://xata.io) (data platform based on Postgres) as a vector store. We have recently added [Xata to Langchain.js](https://github.com/hwchase17/langchainjs/pull/2125) and would love to have the equivalent in the Python project as well. The PR includes integration tests and a Jupyter notebook as docs. Please let me know if anything else would be needed or helpful. I have added the xata python SDK as an optional dependency. ## To run the integration tests You will need to create a DB in xata (see the docs), then run something like: ``` OPENAI_API_KEY=sk-... XATA_API_KEY=xau_... XATA_DB_URL='https://....xata.sh/db/langchain' poetry run pytest tests/integration_tests/vectorstores/test_xata.py ``` <!-- Thank you for contributing to LangChain! Replace this 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 you're PR is passing linting and testing before submitting. Run `make format`, `make lint` and `make test` to check this locally. 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. Maintainer responsibilities: - General / Misc / if you don't know who to tag: @baskaryan - DataLoaders / VectorStores / Retrievers: @rlancemartin, @eyurtsev - Models / Prompts: @hwchase17, @baskaryan - Memory: @hwchase17 - Agents / Tools / Toolkits: @hinthornw - Tracing / Callbacks: @agola11 - Async: @agola11 If no one reviews your PR within a few days, feel free to @-mention the same people again. See contribution guidelines for more information on how to write/run tests, lint, etc: https://github.com/hwchase17/langchain/blob/master/.github/CONTRIBUTING.md --> --------- Co-authored-by: Harrison Chase <hw.chase.17@gmail.com> Co-authored-by: Philip Krauss <35487337+philkra@users.noreply.github.com> Co-authored-by: Bagatur <baskaryan@gmail.com>	1 year ago
Harrison Chase	472f00ada7	add moderation example (#8718 )	1 year ago
Massimiliano Pronesti	a616e19975	feat(llms): add support for vLLM (#8806 ) Hello langchain maintainers, this PR aims at integrating [vllm](https://vllm.readthedocs.io/en/latest/#) into langchain. This PR closes #8729. This feature clearly depends on `vllm`, but I've seen other models supported here depend on packages that are not included in the pyproject.toml (e.g. `gpt4all`, `text-generation`) so I thought it was the case for this as well. @hwchase17, @baskaryan --------- Co-authored-by: Harrison Chase <hw.chase.17@gmail.com>	1 year ago
Karthik Raja A	5a9765b1b5	MultiOn client toolkit update 2.0 (#8750 ) - Updated to use newer better function interaction - Previous version had only one callback - @hinthornw @hwchase17 Can you look into this - Shout out to @MultiON_AI @DivGarg9 on twitter --------- Co-authored-by: Naman Garg <ngarg3@binghamton.edu> Co-authored-by: Harrison Chase <hw.chase.17@gmail.com>	1 year ago
Harrison Chase	0adc282d70	Harrison/as retriever docstring (#8840 ) Co-authored-by: Bytestorm <31070777+Bytestorm5@users.noreply.github.com>	1 year ago
Zend	bd4865b6fe	Async Recursive URL loader (#8502 ) Description: This PR improves the function of recursive_url_loader, such as limiting the depth of the access, and customizable extractors(from the raw webpage to the text of the Document object), so that users can use other tools to extract the webpage. This PR also includes the document and test for the new loader. Old PR closed due to project structure change. #7756 Because socket requests are not allowed, the old unit test was removed. Issue: N/A Dependencies: asyncio, aiohttp Tag maintainer: @rlancemartin Twitter handle: @ Zend_Nihility --------- Co-authored-by: Lance Martin <lance@langchain.dev>	1 year ago
fqassemi	485d716c21	Feature faiss delete (#8135 ) <!-- Thank you for contributing to LangChain! Replace this comment with: - Description: docstore had two main method: add and search, however, dealing with docstore sometimes requires deleting an entry from docstore. So I have added a simple delete method that deletes items from docstore. Additionally, I have added the delete method to faiss vectorstore for the very same reason. - Issue: NA - Dependencies: NA - Tag maintainer: @rlancemartin, @eyurtsev - 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 you're PR is passing linting and testing before submitting. Run `make format`, `make lint` and `make test` to check this locally. 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. Maintainer responsibilities: - General / Misc / if you don't know who to tag: @baskaryan - DataLoaders / VectorStores / Retrievers: @rlancemartin, @eyurtsev - Models / Prompts: @hwchase17, @baskaryan - Memory: @hwchase17 - Agents / Tools / Toolkits: @hinthornw - Tracing / Callbacks: @agola11 - Async: @agola11 If no one reviews your PR within a few days, feel free to @-mention the same people again. See contribution guidelines for more information on how to write/run tests, lint, etc: https://github.com/hwchase17/langchain/blob/master/.github/CONTRIBUTING.md --> --------- Co-authored-by: Harrison Chase <hw.chase.17@gmail.com>	1 year ago
Nicolas	b57fa1a39c	docs: Improvements on Mendable Search (#8808 ) - Balancing prioritization between keyword / AI search - Show snippets of highlighted keywords when searching - Improved keyword search - Fixed bugs and issues Shoutout to @calebpeffer for implementing and gathering feedback on it cc: @dev2049 @rlancemartin @hwchase17	1 year ago
Ikko Eltociear Ashimine	6b93670410	Fix typo in long_context_reorder.ipynb (#8811 ) begining -> beginning <!-- Thank you for contributing to LangChain! Replace this 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 you're PR is passing linting and testing before submitting. Run `make format`, `make lint` and `make test` to check this locally. 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. Maintainer responsibilities: - General / Misc / if you don't know who to tag: @baskaryan - DataLoaders / VectorStores / Retrievers: @rlancemartin, @eyurtsev - Models / Prompts: @hwchase17, @baskaryan - Memory: @hwchase17 - Agents / Tools / Toolkits: @hinthornw - Tracing / Callbacks: @agola11 - Async: @agola11 If no one reviews your PR within a few days, feel free to @-mention the same people again. See contribution guidelines for more information on how to write/run tests, lint, etc: https://github.com/hwchase17/langchain/blob/master/.github/CONTRIBUTING.md -->	1 year ago
Harrison Chase	2bb1d256f3	add example of memory and returning retrieved docs (#8830 )	1 year ago
Kshitij Wadhwa	5f1aab5487	Fix docs for Rockset (#8807 ) * remove error output for notebook * add comment about vector length for ingest transformation * change OPENAI_KEY -> OPENAI_API_KEY cc @baskaryan	1 year ago
Bagatur	d7b613a293	Bagatur/revert revert nuclia (#8833 )	1 year ago
Bagatur	2f309a4ce6	Revert "Bagatur/nuclia (#8404 )" (#8832 )	1 year ago
Snehil Kumar	1bd4890506	Update links on QA Use Case docs (#8784 ) - Description: 2 links were not working on Question Answering Use Cases documentation page. Hence, changed them to nearest useful links, - Issue: NA, - Dependencies: NA, - Tag maintainer: @baskaryan, - Twitter handle: NA <!-- Thank you for contributing to LangChain! Replace this 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 you're PR is passing linting and testing before submitting. Run `make format`, `make lint` and `make test` to check this locally. 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. Maintainer responsibilities: - General / Misc / if you don't know who to tag: @baskaryan - DataLoaders / VectorStores / Retrievers: @rlancemartin, @eyurtsev - Models / Prompts: @hwchase17, @baskaryan - Memory: @hwchase17 - Agents / Tools / Toolkits: @hinthornw - Tracing / Callbacks: @agola11 - Async: @agola11 If no one reviews your PR within a few days, feel free to @-mention the same people again. See contribution guidelines for more information on how to write/run tests, lint, etc: https://github.com/hwchase17/langchain/blob/master/.github/CONTRIBUTING.md -->	1 year ago
Bal Narendra Sapa	a22d502248	added the embeddings part (#8805 ) Description: forgot to add the embeddings part in the documentation. sorry 😅 @baskaryan	1 year ago
Bagatur	9fc9018951	Bagatur/nuclia (#8404 ) Co-authored-by: Eric BREHAULT <ebrehault@gmail.com>	1 year ago
Francisco Ingham	ef5bc1fef1	Refactor for extraction docs (#8465 ) Refactor for the extraction use case documentation --------- Co-authored-by: Harrison Chase <hw.chase.17@gmail.com> Co-authored-by: Lance Martin <lance@langchain.dev>	1 year ago
Bagatur	21771a6f1c	rm sklearn links (#8773 )	1 year ago
Joshua Carroll	e5fed7d535	Extend the StreamlitChatMessageHistory docs with a fuller example and… (#8774 ) Add more details to the [notebook for StreamlitChatMessageHistory](https://python.langchain.com/docs/integrations/memory/streamlit_chat_message_history), including a link to a [running example app](https://langchain-st-memory.streamlit.app/). Original PR: https://github.com/langchain-ai/langchain/pull/8497	1 year ago
Eugene Yurtsev	19dfe166c9	Update documentation for prompts (#8381 ) * Documentation to favor creation without declaring input_variables * Cut out obvious examples, but add more description in a few places --------- Co-authored-by: Bagatur <22008038+baskaryan@users.noreply.github.com>	1 year ago
Dayou Liu	91a0817e39	docs: llamacpp minor fixes (#8738 ) - Description: minor updates on llama cpp doc	1 year ago
Eugene Yurtsev	003e1ca9a0	Update api references (#8646 ) Update API reference documentation. This PR will pick up a number of missing classes, it also applies selective formatting based on the class / object type.	1 year ago
Snehil Kumar	a6ee646ef3	Update get_started.mdx (#8744 ) - Description: Added a missing word and rearranged a sentence in the documentation of Self Query Retrievers., - Issue: NA, - Dependencies: NA, - Tag maintainer: @baskaryan, - Twitter handle: NA Thanks for your time.	1 year ago
Bal Narendra Sapa	bd61757423	add documentation for serializer function (#8769 ) Description: Added necessary documentation for serializer functions @baskaryan	1 year ago
rjanardhan3	affaaea87b	Updates fireworks (#8765 ) <!-- Thank you for contributing to LangChain! Replace this comment with: - Description: Updates to Fireworks Documentation, - Issue: N/A, - Dependencies: N/A, - Tag maintainer: @rlancemartin, --------- Co-authored-by: Raj Janardhan <rajjanardhan@Rajs-Laptop.attlocal.net>	1 year ago
Bagatur	8c35fcb571	update rss doc (#8761 )	1 year ago
Bagatur	0d5a90f30a	Revert "add filter to sklearn vector store functions (#8113 )" (#8760 )	1 year ago
Lance Martin	be638ad77d	Chatbots use case (#8554 ) Co-authored-by: Bagatur <baskaryan@gmail.com>	1 year ago
Ruiqi Guo	6aee589eec	Add ScaNN support in vectorstore. (#8251 ) Description: Add ScaNN vectorstore to langchain. ScaNN is a Open Source, high performance vector similarity library optimized for AVX2-enabled CPUs. https://github.com/google-research/google-research/tree/master/scann - Dependencies: scann Python notebook to illustrate the usage: docs/extras/integrations/vectorstores/scann.ipynb Integration test: libs/langchain/tests/integration_tests/vectorstores/test_scann.py @rlancemartin, @eyurtsev for review. Thanks!	1 year ago
shibuiwilliam	0f0ccfe7f6	add filter to sklearn vector store functions (#8113 ) # What - This is to add filter option to sklearn vectore store functions <!-- Thank you for contributing to LangChain! Replace this comment with: - Description: Add filter to sklearn vectore store functions. - Issue: None - Dependencies: None - Tag maintainer: @rlancemartin, @eyurtsev - Twitter handle: @MlopsJ 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. Maintainer responsibilities: - General / Misc / if you don't know who to tag: @baskaryan - DataLoaders / VectorStores / Retrievers: @rlancemartin, @eyurtsev - Models / Prompts: @hwchase17, @baskaryan - Memory: @hwchase17 - Agents / Tools / Toolkits: @hinthornw - Tracing / Callbacks: @agola11 - Async: @agola11 If no one reviews your PR within a few days, feel free to @-mention the same people again. See contribution guidelines for more information on how to write/run tests, lint, etc: https://github.com/hwchase17/langchain/blob/master/.github/CONTRIBUTING.md --> --------- Co-authored-by: Harrison Chase <hw.chase.17@gmail.com>	1 year ago
shibuiwilliam	2759e2d857	add save and load tfidf vectorizer and docs for TFIDFRetriever (#8112 ) This is to add save_local and load_local to tfidf_vectorizer and docs in tfidf_retriever to make the vectorizer reusable. <!-- Thank you for contributing to LangChain! Replace this comment with: - Description: add save_local and load_local to tfidf_vectorizer and docs in tfidf_retriever - Issue: None - Dependencies: None - Tag maintainer: @rlancemartin, @eyurtsev - Twitter handle: @MlopsJ Please make sure you're PR is passing linting and testing before submitting. Run `make format`, `make lint` and `make test` to check this locally. 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. Maintainer responsibilities: - General / Misc / if you don't know who to tag: @baskaryan - DataLoaders / VectorStores / Retrievers: @rlancemartin, @eyurtsev - Models / Prompts: @hwchase17, @baskaryan - Memory: @hwchase17 - Agents / Tools / Toolkits: @hinthornw - Tracing / Callbacks: @agola11 - Async: @agola11 If no one reviews your PR within a few days, feel free to @-mention the same people again. See contribution guidelines for more information on how to write/run tests, lint, etc: https://github.com/hwchase17/langchain/blob/master/.github/CONTRIBUTING.md --> --------- Co-authored-by: Harrison Chase <hw.chase.17@gmail.com>	1 year ago
Lance Martin	d1b95db874	Retriever that can re-phase user inputs (#8026 ) Simple retriever that applies an LLM between the user input and the query pass the to retriever. It can be used to pre-process the user input in any way. The default prompt: ``` DEFAULT_QUERY_PROMPT = PromptTemplate( input_variables=["question"], template="""You are an assistant tasked with taking a natural languge query from a user and converting it into a query for a vectorstore. In this process, you strip out information that is not relevant for the retrieval task. Here is the user query: {question} """ ) ``` --------- Co-authored-by: Harrison Chase <hw.chase.17@gmail.com>	1 year ago
Harrison Chase	6c3573e7f6	Harrison/aleph alpha (#8735 ) Co-authored-by: PiotrMazurek <piotr.mazurek@aleph-alpha.com> Co-authored-by: Bagatur <baskaryan@gmail.com>	1 year ago
Ilya	6f0bccfeb5	Add regex control over separators in character text splitter (#7933 ) <!-- Thank you for contributing to LangChain! Replace this 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 you're PR is passing linting and testing before submitting. Run `make format`, `make lint` and `make test` to check this locally. 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. Maintainer responsibilities: - General / Misc / if you don't know who to tag: @baskaryan - DataLoaders / VectorStores / Retrievers: @rlancemartin, @eyurtsev - Models / Prompts: @hwchase17, @baskaryan - Memory: @hwchase17 - Agents / Tools / Toolkits: @hinthornw - Tracing / Callbacks: @agola11 - Async: @agola11 If no one reviews your PR within a few days, feel free to @-mention the same people again. See contribution guidelines for more information on how to write/run tests, lint, etc: https://github.com/hwchase17/langchain/blob/master/.github/CONTRIBUTING.md --> #7854 Added the ability to use the `separator` ase a regex or a simple character. Fixed a bug where `start_index` was incorrectly counting from -1. Who can review? @eyurtsev @hwchase17 @mmz-001	1 year ago
Ofer Mendelevitch	29f51055e8	Updates to Vectara documentation (#8699 ) - Description: updates to Vectara documentation with more details on how to get started. - Issue: NA - Dependencies: NA - Tag maintainer: @rlancemartin, @eyurtsev - Twitter handle: @vectara, @ofermend --------- Co-authored-by: Bagatur <baskaryan@gmail.com>	1 year ago
ruze	8ef7e14a85	RSS Feed / OPML loader (#8694 ) Replace this comment with: - Description: added a document loader for a list of RSS feeds or OPML. It iterates through the list and uses NewsURLLoader to load each article. - Issue: N/A - Dependencies: feedparser, listparser - Tag maintainer: @rlancemartin, @eyurtsev - Twitter handle: @ruze --------- Co-authored-by: Bagatur <baskaryan@gmail.com>	1 year ago
Bagatur	b2b71b0d35	Bagatur/eden llm (#8670 ) Co-authored-by: RedhaWassim <rwasssim@gmail.com> Co-authored-by: KyrianC <ckyrian@protonmail.com> Co-authored-by: sam <melaine.samy@gmail.com>	1 year ago
axa99	1f54ec899b	updated interface jupyter notebook explanations (#8689 ) Updated the documentation in the interface.ipynb to clearly show the _input_ and _output_ types for various components @baskaryan	1 year ago
Lance Martin	37aade19da	Minor formatting and additional figure for summarization use case (#8663 )	1 year ago
Harrison Chase	43dffe39fb	Harrison/conversational retrieval agent (#8639 ) Co-authored-by: Bagatur <baskaryan@gmail.com>	1 year ago
ruze	71f98db2fe	Newspaper (#8647 ) - Description: Added newspaper3k based news article loader. Provide a list of urls. - Issue: N/A - Dependencies: newspaper3k, - Tag maintainer: @rlancemartin , @eyurtsev - Twitter handle: @ruze --------- Co-authored-by: Bagatur <baskaryan@gmail.com>	1 year ago
millerick	5018af8839	docs: fix some grammar (#8654 ) ### Description Fixes a grammar issue I noticed when reading through the documentation. ### Maintainers @baskaryan Co-authored-by: mmillerick <mmillerick@blend.com>	1 year ago
Lance Martin	59194c2214	Add summarization use-case (#8376 ) Co-authored-by: Bagatur <baskaryan@gmail.com>	1 year ago
Will Thompson	ee1d13678e	🐛 Docs Fixes [2 one-liners, examples broken] (#8519 ) ## Description: 1)Map reduce example in docs is missing an important import statement. Figured other people would benefit from being able to copy 🍝 the code. 2)RefineDocumentsChain example also broken. ## Issue: None ## Dependencies: None. One liner. ## Tag maintainer: @baskaryan ## Twitter handle: I mean, it's a one line fix lol. But @will_thompson_k is my twitter handle.	1 year ago
Leonid Ganeline	1335f2b9f8	`MLflow` examples (#8642 ) Updated `MLflow` examples with links to the examples from MLflow @baskaryan	1 year ago
Comendeiro	5c516945d0	Add local support for audio models (PR #7329 ) (#7591 ) - Description: run the poetry dependencies - Issue: #7329 - Dependencies: any dependencies required for this change, - Tag maintainer: @rlancemartin --------- Co-authored-by: Harrison Chase <hw.chase.17@gmail.com> Co-authored-by: Bagatur <baskaryan@gmail.com>	1 year ago
rjanardhan3	68113348cc	Fireworks integration (#8322 ) Description - Integrates Fireworks within Langchain LLMs to allow users to use Fireworks models with Langchain, mainly for summarization. Issue - Not applicable Dependencies - None Tag maintainer - @rlancemartin --------- Co-authored-by: Raj Janardhan <rajjanardhan@Rajs-Laptop.attlocal.net>	1 year ago
Joshua Carroll	6705928b9d	Add StreamlitChatMessageHistory (#8497 ) Add a StreamlitChatMessageHistory class that stores chat messages in [Streamlit's Session State](https://docs.streamlit.io/library/api-reference/session-state). Note: The integration test uses a currently-experimental Streamlit testing framework to simulate the execution of a Streamlit app. Marking this PR as draft until I confirm with the Streamlit team that we're comfortable supporting it. --------- Co-authored-by: Bagatur <baskaryan@gmail.com>	1 year ago
Matt Robinson	8961c720b8	docs: update `unstructured` install instructions (#8596 ) ### Summary Updates the `unstructured` install instructions. For `unstructured>=0.9.0`, dependencies are broken out by document type and the base `unstructured` package includes fewer dependencies. `pip install "unstructured[local-inference]"` has been replace by `pip install "unstructured[all-docs]"`, though the `local-inference` extra is still supported for the time being. ### Reviewers - @rlancemartin - @eyurtsev - @hwchase17	1 year ago
Bagatur	73072d3db8	mv (#8595 )	1 year ago
Tesfagabir Meharizghi	a7000ee89e	Callback handler for Amazon SageMaker Experiments (#8587 ) ## Description This PR implements a callback handler for SageMaker Experiments which is similar to that of mlflow. * When creating the callback handler, it takes the experiment's run object as an argument. All the callback outputs are then logged to the run object. * The output of each callback action (e.g., `on_llm_start`) is saved to S3 bucket as json file. * Optionally, you can also log additional information such as the LLM hyper-parameters to the same run object. * Once the callback object is no more needed, you will need to call the `flush_tracker()` method. This makes sure that any intermediate files are deleted. * A separate notebook example is provided to show how the callback is used. @3coins @agola11 --------- Co-authored-by: Tesfagabir Meharizghi <mehariz@amazon.com>	1 year ago
mpb159753	7df2dfc4c2	Add Support for Loading Documents from Huawei OBS (#8573 ) Description: This PR adds support for loading documents from Huawei OBS (Object Storage Service) in Langchain. OBS is a cloud-based object storage service provided by Huawei Cloud. With this enhancement, Langchain users can now easily access and load documents stored in Huawei OBS directly into the system. Key Changes: - Added a new document loader module specifically for Huawei OBS integration. - Implemented the necessary logic to authenticate and connect to Huawei OBS using access credentials. - Enabled the loading of individual documents from a specified bucket and object key in Huawei OBS. - Provided the option to specify custom authentication information or obtain security tokens from Huawei Cloud ECS for easy access. How to Test: 1. Ensure the required package "esdk-obs-python" is installed. 2. Configure the endpoint, access key, secret key, and bucket details for Huawei OBS in the Langchain settings. 3. Load documents from Huawei OBS using the updated document loader module. 4. Verify that documents are successfully retrieved and loaded into Langchain for further processing. Please review this PR and let us know if any further improvements are needed. Your feedback is highly appreciated! @rlancemartin, @eyurtsev --------- Co-authored-by: Bagatur <baskaryan@gmail.com>	1 year ago

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