RAG with ChromaDB

v1.0.0Knowledge & Memorystable

Provides retrieval-augmented generation (RAG) capabilities by ingesting various document formats into a persistent ChromaDB vector store. It enables semantic search and retrieval using either OpenAI or Ollama embeddings for processing local files, di

mcp-rag-with-chromadbmcpai-integration
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What is RAG with ChromaDB?

RAG with ChromaDB is a Model Context Protocol (MCP) server that allows AI assistants like Claude, Cursor, and VS Code to provides retrieval-augmented generation (rag) capabilities by ingesting various document formats into a persistent chromadb vector store. it enables semantic search and retrieval using either openai o...

Provides retrieval-augmented generation (RAG) capabilities by ingesting various document formats into a persistent ChromaDB vector store. It enables semantic search and retrieval using either OpenAI or Ollama embeddings for processing local files, di

This server falls under the Knowledge & Memory category on MCPgee, the world's largest MCP server directory with 33,000+ servers.

Features

  • Provides retrieval-augmented generation (RAG) capabilities b

Use Cases

Ingest documents into vector store
Semantic search with embeddings
CyprianFusi

Maintainer

LicenseMIT License
Languagetypescript
Versionv1.0.0
UpdatedN/A
Statushealthy
Maintenanceactive

Works with

ClaudeOpenAIwindowsmacoslinux

Installation

Manual Installation

npx mcp-rag-with-chromadb

Configuration

Configuration Details

Config File

claude_desktop_config.json

Performance

Response Metrics

Response Time< 200ms
ThroughputMedium

Resource Usage

Memory UsageLow
CPU UsageLow

Frequently Asked Questions about RAG with ChromaDB

What is RAG with ChromaDB?

RAG with ChromaDB is a Model Context Protocol (MCP) server that provides retrieval-augmented generation (rag) capabilities by ingesting various document formats into a persistent chromadb vector store. it enables semantic search and retrieval using either openai or ollama embeddings for processing local files, di It connects AI assistants to external tools and data sources through a standardized interface.

How do I install RAG with ChromaDB?

Follow the installation instructions on the RAG with ChromaDB GitHub repository. Clone the repo, install dependencies, and add the server config to your AI client.

Which AI clients work with RAG with ChromaDB?

RAG with ChromaDB works with all major MCP-compatible AI clients including Claude Desktop, Claude Code, Cursor, VS Code (GitHub Copilot), Windsurf, and Cline.

Is RAG with ChromaDB free to use?

Yes, RAG with ChromaDB is open source and available under the MIT License license. You can use it freely in both personal and commercial projects.

Browse More Knowledge & Memory MCP Servers

Explore all knowledge & memory servers available in the MCPgee directory. Each server includes setup guides for Claude, Cursor, and VS Code.

Quick Config Preview

{ "mcpServers": { "mcp-rag-with-chromadb": { "command": "npx", "args": ["-y", "mcp-rag-with-chromadb"] } } }

Add this to your claude_desktop_config.json or .cursor/mcp.json

Read the full setup guide →

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