embedbase

jaymeklein/embedbase

★ 1 stars Python AI/LLM Updated today

Local-first document embedding and retrieval platform with a REST API and MCP server for LLM agents. Supports hybrid BM25 + semantic search across workspaces and collections, with pluggable parsers, embedders, and vector stores.

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Quick Install

Copy the config for your editor. Some servers may need additional setup — check the README.

Add to claude_desktop_config.json:

{
  "mcpServers": {
    "embedbase": {
      "command": "uvx",
      "args": [
        "embedbase"
      ]
    }
  }
}

Or install with pip: pip install embedbase

README Excerpt

A local-first, open-source document embedding system. Ingest documents, search them semantically, and expose results via REST API and MCP server — all without data leaving your machine. ```bash git clone https://github.com/your-org/embedbase cd embedbase cp .env.example .env cp config.example.yaml config.yaml # already done if this file exists

Tools (1)

auto

Topics

bm25celerychromadbdockerembeddingsfastapihybrid-searchllmlocal-firstmcpollamapgvectorpythonqdrantrag

embedbase

Quick Install

README Excerpt

Tools (1)

Topics

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