Enables seamless sharing of a unified knowledge base across multiple AI assistants using Model Context Protocol, offering high-precision Retrieval Augmented Generation search with support for various vector stores and extensible TypeScript implementation.
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Type of vector store to use ("hnswlib", "chroma", "pinecone", "milvus", "weaviate")
hnswlib
Overlap size for chunks
200
Discover shared experiences
OpenAI API key (required)
Path to the knowledge base (required)
Similarity score threshold for search (0-1)
0.7
Vector store configuration (JSON string)
{}
Chunk size for text splitting
1000
Security Notice
Your environment variables and credentials are securely stored and encrypted. LangDB never shares these configuration values with third parties.
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