khoi03/adk-mcp-rag
A Retrieval-Augmented Generation (RAG) system that leverages Google's Agent Development Kit (ADK) and Qdrant vector database via MCP server.
Implements semantic search through Qdrant's MCP server integration, enabling the agent to retrieve contextually relevant documents before generating responses. Built on Google ADK's agent framework with support for multiple LLM providers (Google, OpenAI, Anthropic), it includes Docker-based deployment for Qdrant and FastMCP server infrastructure. Document ingestion pipeline processes Markdown and PDF files into embeddings, while the built-in ADK web UI provides debugging and request tracing capabilities.
No commits in the last 6 months.
Stars
23
Forks
4
Language
Python
License
Apache-2.0
Category
Last pushed
Sep 01, 2025
Commits (30d)
0
Get this data via API
curl "https://pt-edge.onrender.com/api/v1/quality/rag/khoi03/adk-mcp-rag"
Open to everyone — 100 requests/day, no key needed. Get a free key for 1,000/day.
Higher-rated alternatives
vitali87/code-graph-rag
The ultimate RAG for your monorepo. Query, understand, and edit multi-language codebases with...
stevereiner/flexible-graphrag
Flexible GraphRAG: Python, LlamaIndex, Docker Compose: 8 Graph dbs, 10 Vector dbs, OpenSearch,...
christopherkarani/Wax
Lightening fast RAG on Apple Silicon. On-Device. No Server. No API. One File. Pure Swift
dmayboroda/minima
On-premises conversational RAG with configurable containers
ggozad/haiku.rag
Opinionated agentic RAG powered by LanceDB, Pydantic AI, and Docling