Why this server?
Enables semantic search, image search, and cross-modal search functionalities through integration with Jina AI's neural search capabilities.
Why this server?
An MCP server that enables AI models to retrieve information from Ragie's knowledge base through a simple 'retrieve' tool, implying RAG capabilities which depend on a vector database.
Why this server?
A Model Context Protocol server providing vector database capabilities through Chroma, enabling semantic document search, metadata filtering, and document management with persistent storage.
Why this server?
Aims to be portable, local, easy, and convenient to support semantic/graph-based retrieval of txtai "all in one" embeddings database, supporting vector search.
Why this server?
Enables semantic search and RAG (Retrieval Augmented Generation) over your Apple Notes, a form of vector retrieval.
Why this server?
A Model Context Protocol server that enables semantic search and retrieval of Apple Notes content, allowing AI assistants to access, search, and create notes using on-device embeddings.