Vector Search — In-Memory TF-IDF Semantic Store
smithery.ai
In-memory vector search API for AI agents. Store documents and query by semantic meaning using TF-IDF vectorization with cosine similarity. Lightweight alternative to Pinecone/Weaviate for small datasets. Tools: data_vector_search. Use this for building simple RAG systems, document matching, or semantic search over small collections (< 10K docs). IMPORTANT: For web-wide search, use web_search_query instead. Returns: {results[], scores[], matchCount}. No API key required —
Description
Vector Search — In-Memory TF-IDF Semantic Store
Installation
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Specs
| Type | MCP server |
| Section | MCP servers |
| Pricing | free |
| Platform | Command line |
| Systems | api, cli |
| Hosting | cloud |
| Install | mcp |
| Protocols | mcp |
| Site language | en |
| Vendor | axel-belfort |
| Views | 3 562 |
