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.
This project helps anyone who needs to quickly get accurate, context-rich answers from large language models (LLMs) based on their own specific documents. You feed in your `.md` and `.pdf` files, and the system processes them to provide enhanced answers from an AI assistant. This is ideal for researchers, technical support staff, or anyone needing to query their private knowledge base.
No commits in the last 6 months.
Use this if you want to get more accurate and relevant answers from an AI by having it reference your specific documents, like reports, manuals, or research papers.
Not ideal if you only need general AI answers that don't require referencing your proprietary or specific document collection.
Stars
23
Forks
4
Language
Python
License
Apache-2.0
Category
Last pushed
Sep 01, 2025
Commits (30d)
0
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