langchain/docs/extras
Bagatur 3efab8d3df
implement vectorstores by tencent vectordb (#9989)
Hi there!
I'm excited to open this PR to add support for using 'Tencent Cloud
VectorDB' as a vector store.

Tencent Cloud VectorDB is a fully-managed, self-developed,
enterprise-level distributed database service designed for storing,
retrieving, and analyzing multi-dimensional vector data. The database
supports multiple index types and similarity calculation methods, with a
single index supporting vector scales up to 1 billion and capable of
handling millions of QPS with millisecond-level query latency. Tencent
Cloud VectorDB not only provides external knowledge bases for large
models to improve their accuracy, but also has wide applications in AI
fields such as recommendation systems, NLP services, computer vision,
and intelligent customer service.

The PR includes:
 Implementation of Vectorstore.

I have read your [contributing
guidelines](72b7d76d79/.github/CONTRIBUTING.md).
And I have passed the tests below

 make format
 make lint
 make coverage
 make test
2023-08-31 00:48:25 -07:00
..
_templates Update Integrations links (#8206) 2023-07-24 21:20:32 -07:00
additional_resources Added In-Depth Langchain Agent Execution Guide (#9507) 2023-08-20 15:59:01 -07:00
ecosystem fix a link name format to the dependents document 2023-08-29 21:55:05 +08:00
guides guides docs nits (#10005) 2023-08-30 11:07:42 -07:00
integrations implement vectorstores by tencent vectordb (#9989) 2023-08-31 00:48:25 -07:00
modules Fix Typo : openai_api_key -> serpapi_api_key (#10020) 2023-08-31 00:33:13 -07:00
use_cases make privacy guide section (#10003) 2023-08-30 10:49:20 -07:00