Retrieves and lists content from various knowledge bases using semantic search.
Sponsored
This MCP server provides tools for accessing and searching through multiple knowledge bases. It utilizes a FAISS index for efficient semantic search, allowing users to retrieve relevant information based on a query. The server automatically updates the index when changes are detected in the knowledge base files, ensuring that the search results are always up-to-date. It supports various configuration options, including specifying the Hugging Face API key, knowledge base root directory, FAISS index path, and the Hugging Face model to use.
Key Features
01Lists available knowledge bases
02Retrieves similar content chunks based on a query
03Semantic search using a FAISS index
04Automatic index updates upon file modification
05Configurable knowledge base root directory and Hugging Face API key
Use Cases
01Quickly finding relevant information within a company's documentation
02Providing AI agents with context from a knowledge base
03Enabling users to search for answers within a collection of text files
