11 Commits (584a1e30acbcccf631d1ff2337902177353d2b67)

Author	SHA1	Message	Date
Rohan Aggarwal	8021d2a2ab	community[minor]: Oraclevs integration (#21123) ... Thank you for contributing to LangChain! - Oracle AI Vector Search Oracle AI Vector Search is designed for Artificial Intelligence (AI) workloads that allows you to query data based on semantics, rather than keywords. One of the biggest benefit of Oracle AI Vector Search is that semantic search on unstructured data can be combined with relational search on business data in one single system. This is not only powerful but also significantly more effective because you don't need to add a specialized vector database, eliminating the pain of data fragmentation between multiple systems. - Oracle AI Vector Search is designed for Artificial Intelligence (AI) workloads that allows you to query data based on semantics, rather than keywords. One of the biggest benefit of Oracle AI Vector Search is that semantic search on unstructured data can be combined with relational search on business data in one single system. This is not only powerful but also significantly more effective because you don't need to add a specialized vector database, eliminating the pain of data fragmentation between multiple systems. This Pull Requests Adds the following functionalities Oracle AI Vector Search : Vector Store Oracle AI Vector Search : Document Loader Oracle AI Vector Search : Document Splitter Oracle AI Vector Search : Summary Oracle AI Vector Search : Oracle Embeddings - We have added unit tests and have our own local unit test suite which verifies all the code is correct. We have made sure to add guides for each of the components and one end to end guide that shows how the entire thing runs. - We have made sure that make format and make lint run clean. Additional guidelines: - Make sure optional dependencies are imported within a function. - Please do not add dependencies to pyproject.toml files (even optional ones) unless they are required for unit tests. - Most PRs should not touch more than one package. - Changes should be backwards compatible. - If you are adding something to community, do not re-import it in langchain. If no one reviews your PR within a few days, please @-mention one of baskaryan, efriis, eyurtsev, hwchase17. --------- Co-authored-by: skmishraoracle <shailendra.mishra@oracle.com> Co-authored-by: hroyofc <harichandan.roy@oracle.com> Co-authored-by: Bagatur <22008038+baskaryan@users.noreply.github.com> Co-authored-by: Bagatur <baskaryan@gmail.com>	4 months ago
junkeon	c8fd51e8c8	upstage: Add Upstage partner package LA and GC (#20651) ... --------- Co-authored-by: Sean <chosh0615@gmail.com> Co-authored-by: Erick Friis <erick@langchain.dev> Co-authored-by: Sean Cho <sean@upstage.ai>	5 months ago
Pranav Agarwal	bd9b5dc2f3	docs: Updating cookbook README for amazon personalize (#17854) ... This PR is a successor to this PR - https://github.com/langchain-ai/langchain/pull/17436 This PR updates the cookbook README with the notebook so that it is available on langchain docs for discoverability. cc: @baskaryan, @3coins --------- Co-authored-by: Bagatur <baskaryan@gmail.com>	6 months ago
Bagatur	76c317ed78	DOCS: update rag use case (#13319)	10 months ago
Shaurya Rohatgi	f70aa82c84	Update README.md - Added notebook for extraction_openai_tools (#13205) ... added Parallel Function Calling for Structured Data Extraction notebook <!-- 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>	10 months ago
Bagatur	388f248391	add oai v1 cookbook (#12961)	10 months ago
Manuel Soria	a228f340f1	Semantic search within postgreSQL using pgvector (#12365) ... Cookbook showing how to incoporate RAG search within a postgreSQL database using pgvector. --------- Co-authored-by: Lance Martin <lance@langchain.dev> Co-authored-by: Bagatur <baskaryan@gmail.com> Co-authored-by: Erick Friis <erick@langchain.dev>	10 months ago
Rohan Sharma	3da1a65fa0	Update README.md (#12286)	11 months ago
Palau	720ecacb1c	Add notebook for kay.ai press release data (#11575) ... - **Description:** Adding a notebook for Press Release data from Kay.ai, as discussed offline - **Tag maintainer:** @baskaryan @hwchase17 - **Twitter handle:** https://twitter.com/kaydotai https://twitter.com/vishalrohra_ --------- Co-authored-by: Bagatur <baskaryan@gmail.com>	11 months ago
Bagatur	642d2e4b67	caps not title for cookbooks descriptions (#11993)	11 months ago
Bagatur	fd7ab539c8	add cookbook readme (#11992)	11 months ago