Vector Search — In-Memory TF-IDF Semantic Store
In-memory vector search API for AI agents.
Community: Submitted by a user or imported; check the owner before granting accessOnlineNo sign-inGlobalFreeRead-only
What it can do
- Data Vector Search: Use this when you need to store text documents and search them by semantic similarity. Accepts documents to store and a query to search. Uses TF-IDF vectorization with cosine simil
What data it sees
Do you need an account
No: the server works without sign-in
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.
Server tool list (1)
Raw names from tools/list. Only developers need these.
| data_vector_search | Use this when you need to store text documents and search them by semantic similarity. Accepts documents to store and a query to search. Uses TF-IDF vectorization with cosine similarity to find the mo |