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langchain/docs
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>
1 month ago
..
api_reference experimental[minor]: upgrade the prompt injection model (#20783) 1 month ago
data 👥 Update LangChain people data (#21143) 1 month ago
docs community[minor]: Oraclevs integration (#21123) 1 month ago
scripts docs: model table keywords, remove tool calling from llm (#21225) 1 month ago
src docs: add Cohere to ChatModelTabs (#20386) 2 months ago
static docs: reorg and visual refresh (#19765) 2 months ago
.gitignore infra: cleanup docs build (#21134) 1 month ago
.yarnrc.yml docs[minor]: Add thumbs up/down to all docs pages (#18526) 3 months ago
Makefile infra: cleanup docs build (#21134) 1 month ago
README.md docs: developer docs (#14776) 6 months ago
babel.config.js Restructure docs (#11620) 8 months ago
docusaurus.config.js docs: fix title cap (#20048) 2 months ago
package.json Lock low level dep to fix Vercel docs build (#20573) 2 months ago
sidebars.js docs: `graphs` update (#19675) 2 months ago
vercel.json upstage: init package (#20574) 2 months ago
vercel_build.sh infra: cleanup docs build (#21134) 1 month ago
vercel_requirements.txt docs: install partner pkgs vercel (#20761) 1 month ago
yarn.lock Lock low level dep to fix Vercel docs build (#20573) 2 months ago

README.md

LangChain Documentation

For more information on contributing to our documentation, see the Documentation Contributing Guide