langchain

Commit Graph

Author	SHA1	Message	Date
AmitSinghShorthillsAI	2b06792c81	Fixing spelling mistakes in fallbacks.ipynb (#9376 ) Fix spelling errors in the text: 'Therefore' and 'Retrying I want to stress that your feedback is invaluable to us and is genuinely cherished. With gratitude, @baskaryan @hwchase17	1 year ago
PuneetDhimanShorthillsAI	61e4a06447	Corrected Sentence in router.ipynb (#9377 ) Added missing question marks in the lines in the router.ipynb @baskaryan @hwchase17	1 year ago
呂安	ead04487fd	doc: make install from source more clearer (#9433 ) Description: if just `pip install -e .` it will not install anything, we have to find the right directory to do `pip install -e .`	1 year ago
Leonid Ganeline	edcb03943e	👀 docs: updated `dependents` (#9426 ) Updated statistics (the previous statistics was taken 1+month ago). A lot of new dependents and more starts.	1 year ago
Holmodi	89a8121eaa	Fix a dead loop bug caused by assigning two variables with opposite values. (#9447 ) - Description: Fix a dead loop bug caused by assigning two variables with opposite values.	1 year ago
Lance Martin	589927e9e1	Update figure in OSS model guide (#9399 )	1 year ago
Bagatur	5d60ced7b3	pydantic compatibility guide fix (#9418 )	1 year ago
Bagatur	0c4683ebcc	Revert "Update compatibility guide for pydantic (#9396 )" (#9417 )	1 year ago
Eugene Yurtsev	b11c233304	Update compatibility guide for pydantic (#9396 ) Use langchain.pydantic_v1 instead of pydantic_v1	1 year ago
Leonid Kuligin	019aa04b06	fixed a pal chain reference (#9387 ) #9386 Co-authored-by: Leonid Kuligin <kuligin@google.com>	1 year ago
Sanskar Tanwar	c194828be0	Fixed Typo in Fallbacks.ipynb (#9373 ) Removed extra "the" in the sentence about the chicken crossing the road in fallbacks.ipynb. The sentence now reads correctly: "Why did the chicken cross the road?" This resolves the grammatical error and improves the overall quality of the content. @baskaryan , @hinthornw , @hwchase17	1 year ago
AashutoshPathakShorthillsAI	c71afb46d1	Corrected Sentence in .ipynb File (#9372 ) Fixed grammatical errors in the sentence by repositioning the word "are" for improved clarity and readability. @baskaryan @hwchase17 @hinthornw	1 year ago
Akshay Tripathi	de8dfde7f7	Corrected Grammatical errors in tutorials.mdx (#9358 ) I want to extend my heartfelt gratitude to the creator for masterfully crafting this remarkable application. 🙌 I am truly impressed by the meticulous attention to grammar and spelling in the documentation, which undoubtedly contributes to a polished and seamless reader experience. As always, your feedback holds immense value and is greatly appreciated. @baskaryan , @hwchase17	1 year ago
Md Nazish Arman	e842131425	Fixed Grammatical errors in tutorials.mdx (#9359 ) I want to convey my deep appreciation to the creator for their expert craftsmanship in developing this exceptional application. 👏 The remarkable dedication to upholding impeccable grammar and spelling in the documentation significantly enhances the polished and seamless experience for readers. I want to stress that your feedback is invaluable to us and is genuinely cherished. With gratitude, @baskaryan, @hwchase17	1 year ago
AnujMauryaShorthillsAI	6dedd94ba4	Update "Langchain" to "LangChain" in the tutorials.mdx file (#9361 ) In this commit, I have made a modification to the term "Langchain" to correctly reflect the project's name as "LangChain". This change ensures consistency and accuracy throughout the codebase and documentation. @baskaryan , @hwchase17	1 year ago
Adarsh Shrivastav	c5e23293f8	Corrected Typo in MultiPromptChain Example in router.ipynb (#9362 ) Refined the example in router.ipynb by addressing a minor typographical error. The typo "rins" has been corrected to "rains" in the code snippet that demonstrates the usage of the MultiPromptChain. This change ensures accuracy and consistency in the provided code example. This improvement enhances the readability and correctness of the notebook, making it easier for users to understand and follow the demonstration. The commit aims to maintain the quality and accuracy of the content within the repository. Thank you for your attention to detail, and please review the change at your convenience. @baskaryan , @hwchase17	1 year ago
AbhishekYadavShorthillsAI	90d7c55343	Fix Typo in "community.md" (#9360 ) Corrected a typographical error in the "community.md" file by removing an extra word from the sentence. @baskaryan , @hwchase17	1 year ago
Angel Luis	2e8733cf54	Fix typo in huggingface_textgen_inference.ipynb (#9313 ) Replaced incorrect `stream` parameter by `streaming` on Integrations docs.	1 year ago
Lance Martin	b04e472acf	Open source LLM guide (#9266 ) Guide for using open source LLMs locally.	1 year ago
Eugene Yurtsev	090411842e	Fix API reference docs (#9321 ) Do not document members nested within any private component	1 year ago
Eugene Yurtsev	0f9f213833	Pydantic Compatibility (#9327 ) Pydantic Compatibility Guidelines for migration plan + debugging	1 year ago
Chandler May	15f1af8ed6	Fix variable case in code snippet in docs (#9311 ) - Description: Fix a minor variable naming inconsistency in a code snippet in the docs - Issue: N/A - Dependencies: none - Tag maintainer: N/A - Twitter handle: N/A	1 year ago
Michael Bianco	23928a3311	docs: remove multiple code blocks from comma-separated docs (#9323 )	1 year ago
Navanit Dubey	3e6cea46e2	Guide import readable json (#9291 )	1 year ago
axiangcoding	63601551b1	fix(llms): improve the ernie chat model (#9289 ) - Description: improve the ernie chat model. - fix missing kwargs to payload - new test cases - add some debug level log - improve description - Issue: None - Dependencies: None - Tag maintainer: @baskaryan	1 year ago
Daniel Chalef	1d55141c50	zep/new ZepVectorStore (#9159 ) - new ZepVectorStore class - ZepVectorStore unit tests - ZepVectorStore demo notebook - update zep-python to ~1.0.2 --------- Co-authored-by: Bagatur <baskaryan@gmail.com>	1 year ago
Bagatur	b9ca5cc5ea	update guide import (#9279 )	1 year ago
Bagatur	afba2be3dc	update openai functions docs (#9278 )	1 year ago
Bagatur	9abf60acb6	Bagatur/vectara regression (#9276 ) Co-authored-by: Ofer Mendelevitch <ofer@vectara.com> Co-authored-by: Ofer Mendelevitch <ofermend@gmail.com>	1 year ago
Xiaoyu Xee	b30f449dae	Add dashvector vectorstore (#9163 ) ## Description Add `Dashvector` vectorstore for langchain - [dashvector quick start](https://help.aliyun.com/document_detail/2510223.html) - [dashvector package description](https://pypi.org/project/dashvector/) ## How to use ```python from langchain.vectorstores.dashvector import DashVector dashvector = DashVector.from_documents(docs, embeddings) ``` --------- Co-authored-by: smallrain.xuxy <smallrain.xuxy@alibaba-inc.com> Co-authored-by: Bagatur <baskaryan@gmail.com>	1 year ago
Bagatur	bfbb97b74c	Bagatur/deeplake docs fixes (#9275 ) Co-authored-by: adilkhan <adilkhan.sarsen@nu.edu.kz>	1 year ago
Kunj-2206	1b3942ba74	Added BittensorLLM (#9250 ) Description: Adding NIBittensorLLM via Validator Endpoint to langchain llms Tag maintainer: @Kunj-2206 Maintainer responsibilities: Models / Prompts: @hwchase17, @baskaryan --------- Co-authored-by: Bagatur <baskaryan@gmail.com>	1 year ago
Toshish Jawale	852722ea45	Improvements in Nebula LLM (#9226 ) - Description: Added improvements in Nebula LLM to perform auto-retry; more generation parameters supported. Conversation is no longer required to be passed in the LLM object. Examples are updated. - Issue: N/A - Dependencies: N/A - Tag maintainer: @baskaryan - Twitter handle: symbldotai --------- Co-authored-by: toshishjawale <toshish@symbl.ai>	1 year ago
Bagatur	1aae77f26f	fix context nb (#9267 )	1 year ago
Alex Gamble	cf17c58b47	Update documentation for the Context integration with new URL and features (#9259 ) Update documentation and URLs for the Langchain Context integration. We've moved from getcontext.ai to context.ai \o/ Thanks in advance for the review!	1 year ago
Joseph McElroy	5e9687a196	Elasticsearch self-query retriever (#9248 ) Now with ElasticsearchStore VectorStore merged, i've added support for the self-query retriever. I've added a notebook also to demonstrate capability. I've also added unit tests. Credit @elastic and @phoey1 on twitter.	1 year ago
Anthony Mahanna	0a04e63811	docs: Update ArangoDB Links (#9251 ) ready for review - mdx link update - colab link update	1 year ago
Hech	4b505060bd	fix: max_marginal_relevance_search and docs in Dingo (#9244 )	1 year ago
axiangcoding	664ff28cba	feat(llms): support ernie chat (#9114 ) Description: support ernie (文心一言) chat model Related issue: #7990 Dependencies: None Tag maintainer: @baskaryan	1 year ago
fanyou-wbd	5e43768f61	docs: update LlamaCpp max_tokens args (#9238 ) This PR updates documentations only, `max_length` should be `max_tokens` according to latest LlamaCpp API doc: https://api.python.langchain.com/en/latest/llms/langchain.llms.llamacpp.LlamaCpp.html	1 year ago
Bagatur	a8aa1aba1c	nit (#9243 )	1 year ago
Bagatur	68d8f73698	consolidate redirects (#9242 )	1 year ago
Joshua Sundance Bailey	ef0664728e	ArcGISLoader update (#9240 ) Small bug fixes and added metadata based on user feedback. This PR is from the author of https://github.com/langchain-ai/langchain/pull/8873 .	1 year ago
Joseph McElroy	eac4ddb4bb	Elasticsearch Store Improvements (#8636 ) Todo: - [x] Connection options (cloud, localhost url, es_connection) support - [x] Logging support - [x] Customisable field support - [x] Distance Similarity support - [x] Metadata support - [x] Metadata Filter support - [x] Retrieval Strategies - [x] Approx - [x] Approx with Hybrid - [x] Exact - [x] Custom - [x] ELSER (excluding hybrid as we are working on RRF support) - [x] integration tests - [x] Documentation 👋 this is a contribution to improve Elasticsearch integration with Langchain. Its based loosely on the changes that are in master but with some notable changes: ## Package name & design improvements The import name is now `ElasticsearchStore`, to aid discoverability of the VectorStore. ```py ## Before from langchain.vectorstores.elastic_vector_search import ElasticVectorSearch, ElasticKnnSearch ## Now from langchain.vectorstores.elasticsearch import ElasticsearchStore ``` ## Retrieval Strategy support Before we had a number of classes, depending on the strategy you wanted. `ElasticKnnSearch` for approx, `ElasticVectorSearch` for exact / brute force. With `ElasticsearchStore` we have retrieval strategies: ### Approx Example Default strategy for the vast majority of developers who use Elasticsearch will be inferring the embeddings from outside of Elasticsearch. Uses KNN functionality of _search. ```py texts = ["foo", "bar", "baz"] docsearch = ElasticsearchStore.from_texts( texts, FakeEmbeddings(), es_url="http://localhost:9200", index_name="sample-index" ) output = docsearch.similarity_search("foo", k=1) ``` ### Approx, with hybrid Developers who want to search, using both the embedding and the text bm25 match. Its simple to enable. ```py texts = ["foo", "bar", "baz"] docsearch = ElasticsearchStore.from_texts( texts, FakeEmbeddings(), es_url="http://localhost:9200", index_name="sample-index", strategy=ElasticsearchStore.ApproxRetrievalStrategy(hybrid=True) ) output = docsearch.similarity_search("foo", k=1) ``` ### Approx, with `query_model_id` Developers who want to infer within Elasticsearch, using the model loaded in the ml node. This relies on the developer to setup the pipeline and index if they wish to embed the text in Elasticsearch. Example of this in the test. ```py texts = ["foo", "bar", "baz"] docsearch = ElasticsearchStore.from_texts( texts, FakeEmbeddings(), es_url="http://localhost:9200", index_name="sample-index", strategy=ElasticsearchStore.ApproxRetrievalStrategy( query_model_id="sentence-transformers__all-minilm-l6-v2" ), ) output = docsearch.similarity_search("foo", k=1) ``` ### I want to provide my own custom Elasticsearch Query You might want to have more control over the query, to perform multi-phase retrieval such as LTR, linearly boosting on document parameters like recently updated or geo-distance. You can do this with `custom_query_fn` ```py def my_custom_query(query_body: dict, query: str) -> dict: return {"query": {"match": {"text": {"query": "bar"}}}} texts = ["foo", "bar", "baz"] docsearch = ElasticsearchStore.from_texts( texts, FakeEmbeddings(), **elasticsearch_connection, index_name=index_name ) docsearch.similarity_search("foo", k=1, custom_query=my_custom_query) ``` ### Exact Example Developers who have a small dataset in Elasticsearch, dont want the cost of indexing the dims vs tradeoff on cost at query time. Uses script_score. ```py texts = ["foo", "bar", "baz"] docsearch = ElasticsearchStore.from_texts( texts, FakeEmbeddings(), es_url="http://localhost:9200", index_name="sample-index", strategy=ElasticsearchStore.ExactRetrievalStrategy(), ) output = docsearch.similarity_search("foo", k=1) ``` ### ELSER Example Elastic provides its own sparse vector model called ELSER. With these changes, its really easy to use. The vector store creates a pipeline and index thats setup for ELSER. All the developer needs to do is configure, ingest and query via langchain tooling. ```py texts = ["foo", "bar", "baz"] docsearch = ElasticsearchStore.from_texts( texts, FakeEmbeddings(), es_url="http://localhost:9200", index_name="sample-index", strategy=ElasticsearchStore.SparseVectorStrategy(), ) output = docsearch.similarity_search("foo", k=1) ``` ## Architecture In future, we can introduce new strategies and allow us to not break bwc as we evolve the index / query strategy. ## Credit On release, could you credit @elastic and @phoey1 please? Thank you! --------- Co-authored-by: Bagatur <baskaryan@gmail.com>	1 year ago
Harrison Chase	71d5b7c9bf	Harrison/fallbacks (#9233 ) Co-authored-by: Bagatur <baskaryan@gmail.com>	1 year ago
Lance Martin	41279a3ae1	Move self-check use case to "more" section (#9137 ) Co-authored-by: Bagatur <baskaryan@gmail.com>	1 year ago
Lance Martin	22858d99b5	Move code-writing use case to "more" section (#9134 ) Co-authored-by: Bagatur <baskaryan@gmail.com>	1 year ago
Bagatur	249d7d06a2	adapter doc nit (#9234 )	1 year ago
Lance Martin	969e1683de	Move graph use case to "more" section (#8997 ) Clean `use_cases` by moving the `GraphDB` to `integrations`. --------- Co-authored-by: Bagatur <baskaryan@gmail.com>	1 year ago
Lance Martin	d0a0d560ad	Minor formatting on Web Research Use Case (#9221 )	1 year ago

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1749 Commits (ade683c589f73ac5769cdf8d811db9c9f1d75ee4)