Vector Search — In-Memory TF-IDF Semantic Store

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 — x402 micropayment $0.005/call on Base L2.

接入信息

传输形态

http

鉴权方式

鉴权未知

端点

https://vector-search--axel-belfort.run.tools

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  "mcpServers": {
    "Vector Search — In-Memory TF-IDF Semantic Store": {
      "url": "https://vector-search--axel-belfort.run.tools"
    }
  }
}

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