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Vector Search — In-Memory TF-IDF Semantic Store

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

axel-belfortавтор: axel-belfort
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Описание

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.

Установить Vector Search — In-Memory TF-IDF Semantic Store в Claude Desktop, Claude Code, Cursor

Рекомендуется · одна команда, все IDE
unyly install vector-search

Ставит в Claude Desktop, Claude Code, Cursor и VS Code — сам разбирается с npx, uvx и сборкой из исходников.

Впервые? Поставь CLI: curl -fsSL https://unyly.org/install | sh

Или настроить вручную

Выполни в терминале:

claude mcp add vector-search -- npx -y @smithery/cli run axel-belfort/vector-search

Пошаговые гайды: как установить Vector Search — In-Memory TF-IDF Semantic Store

Установить Vector Search — In-Memory TF-IDF Semantic Store в Claude DesktopУстановить Vector Search — In-Memory TF-IDF Semantic Store в Claude CodeУстановить Vector Search — In-Memory TF-IDF Semantic Store в CursorУстановить Vector Search — In-Memory TF-IDF Semantic Store в VS Code

FAQ

Vector Search — In-Memory TF-IDF Semantic Store MCP бесплатный?

Да, Vector Search — In-Memory TF-IDF Semantic Store MCP бесплатный — установка в пару кликов через Unyly без оплаты.

Нужен ли API-ключ для Vector Search — In-Memory TF-IDF Semantic Store?

Нет, Vector Search — In-Memory TF-IDF Semantic Store работает без API-ключей и переменных окружения.

Vector Search — In-Memory TF-IDF Semantic Store — hosted или self-hosted?

Доступен hosted-вариант: Unyly запускает сервер в облаке, локальная установка не обязательна.

Как установить Vector Search — In-Memory TF-IDF Semantic Store в Claude Desktop, Claude Code или Cursor?

Открой Vector Search — In-Memory TF-IDF Semantic Store на unyly.org, выбери вкладку своего клиента (Claude Desktop, Claude Code, Cursor) и нажми Install — конфиг сгенерируется автоматически, без правки JSON.

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