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Vector Search — In-Memory TF-IDF Semantic Store vs Google Drive

Сравнение двух MCP-серверов по фактам. Выбери подходящий для Claude Desktop, Claude Code или Cursor.

In-memory vector search API for AI agents. Store documents and query by semantic meaning using TF-IDF vectorization with cosine similarity. Lightweight…

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Search and read your Drive files

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Сравнение

ПараметрVector Search — In-Memory TF-IDF Semantic StoreGoogle Drive
ЦенаFreePro
Установки
Рейтинг
Проверен
HostedHostedHosted
Инструменты4
Категорияproductivityproductivity
Авторaxel-belfortGoogle
Репозиторийisaacphi/mcp-gdrive

Когда выбрать 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.

Когда выбрать Google Drive

Semantic search across Google Drive. Claude reads Docs, Sheets and PDFs, summarizes them, answers questions.

Ищешь что-то другое? Весь каталог MCP или в тренде на неделе.