Building an Agentic RAG AI Agent with FAISS, BM25 and Qwen

Automated excerpt

I recently completed a project as part of my AI Engineering learning journey: an Agentic RAG AI Agent that answers user questions based on a provided knowledge base. Instead, it first searches a knowledge base, retrieves relevant information, and then generates an answer using that retrieved context. The system retrieves relevant to a language model to generate an answer.

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