#retrieval-augmented-generation

12-question wizard that recommends an optimal RAG architecture (Standard / Graph / Agentic) with an AI-evaluated pipeline.

A Python-based retrieval-augmented generation chatbot project that includes an API server, RAG pipeline, embeddings/retrieval/vector store logic, data ingestion scripts, DVC model response evaluation pipeline with openeval, CI/CD containerization and code quality check pipeline with docker and pylint, and tests for API, generation, and retrieval.