docs: add ZeusDB vector store integration #32822
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Description
This PR adds documentation for the new ZeusDB vector store integration with LangChain.
Motivation
ZeusDB is a high-performance vector database (Python/Rust backend) designed for AI applications that need fast similarity search and real-time vector ops. This integration brings ZeusDB's capabilities to the LangChain ecosystem, giving developers another production-oriented option for vector storage and retrieval.
Key Features:
Changes
Added provider documentation:
docs/docs/integrations/providers/zeusdb.mdx
(installation, setup).Added vector store documentation:
docs/docs/integrations/vectorstores/zeusdb.ipynb
(quickstart for creating/querying a ZeusDBVectorStore).Registered langchain-zeusdb in
libs/packages.yml
for discovery.Target users
AI/ML engineers building RAG pipelines
Data scientists working with large document collections
Developers needing high-throughput vector search
Teams requiring near real-time vector operations
Testing
Package Information
PyPI: https://pypi.org/project/langchain-zeusdb
Github: https://github.com/ZeusDB/langchain-zeusdb