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How to study how hybrid retrieval and citation checks are built with RAG Re Act Agent

Read the retrieval, agent, and evaluation code to reuse the design in your own RAG project.

Short answer: git clone https://github.com/MoMoM101/RAG-ReActAgent.git; then cd RAG-ReActAgent; read backend/rag for loading, chunking, query classification, and retrieval, and backend/agent for the ReAct loop and answer verification. All steps.

Who it is forA developer building a RAG system who wants a worked reference for merging search results and verifying answer citations.

The problemReading a RAG design from a blog post hides the details of fusion, deduplication, and citation checks.

The outcomeA file-by-file summary of how semantic and keyword results are merged and how answers are verified.

What you need first

  • Docker and Docker Compose, or Python 3.12 and Node.js 22.22 or newer for a source install
  • An OpenAI-compatible LLM service and an Embedding service, with an API key, for full knowledge Q&A

Steps

  1. git clone https://github.com/MoMoM101/RAG-ReActAgent.git
  2. cd RAG-ReActAgent
  3. Read backend/rag for loading, chunking, query classification, and retrieval, and backend/agent for the ReAct loop and answer verification.
  4. pip install -r backend/requirements-dev.txt
  5. Read docs/EVALUATION_REPRODUCIBILITY.md to see how the evaluation numbers were produced.
  6. Run the tests in backend/tests with pytest after the dev install. (inferred, check the README)

Prompt for your agent

Clone https://github.com/MoMoM101/RAG-ReActAgent and read backend/rag, backend/agent, and docs/EVALUATION_REPRODUCIBILITY.md. Produce a summary of how Qdrant and SQLite BM25 results are fused with weighted RRF and how answer citations are checked, with a file path for each claim. Expected output: the summary as a short list. Verify that every file path exists before reporting.

Caveat. Reading the code does not reproduce the reported numbers, which come from a fixed synthetic benchmark that includes a development subset rather than a strictly held-out test.

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Using the Deduped MCP, get the setup steps for MoMoM101/RAG-ReActAgent and "Study how hybrid retrieval and citation checks are built"

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