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Br0ski777

Vector Search API

by Br0ski777

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    • F
      license
      Not graded
      quality
      D
      maintenance
      Enables document search and retrieval using TF-IDF vector similarity across HTML and PDF files. Provides ingest, query, and vector store management capabilities through both HTTP API and MCP stdio interfaces.
      -
    • A
      license
      Not graded
      quality
      B
      maintenance
      Gives AI agents persistent, shared project memory so they can record decisions, failed attempts, tasks and notes, then retrieve a ranked, budget-trimmed slice of what matters across sessions and tools. Access is metered per call in USDC over x402 with no account or API key required.
      MIT
    • A
      license
      Not graded
      quality
      B
      maintenance
      Upload documents (Word, Excel, PDF, PowerPoint) to a vector RAG store and perform semantic search with page-level citations. Queries are free; ingestion costs credits at break-even pricing.
      MIT
    • A
      license
      Not graded
      quality
      D
      maintenance
      Enables storing and retrieving information using semantic search with Qdrant vector database. Acts as a memory layer for LLMs to persistently store and semantically search through information and metadata.
      Apache 2.0