Advanced RAG Pipelines and Evaluation: Self-Reflective RAG, Corrective RAG, Adaptive RAG, Sub-Query Generation and Routing, DSPy, DeepEval

Backend Of STELLA that run SELF Retrieval-Augmented Generation [Senior Project]

Advanced RAG Implementations

Advanced RAG using langgraph which uses websearch functionality to produce relevant documents.

Context-aware tool for automated BDD test generation and execution using RAG, VectorDB, and LLaMA.

podcast chatbot using the ell llm framework uses self RAG with memory

This project is built using Python and the Flask web framework, providing a user-friendly web interface for interacting with the RAG system. The core logic, including document processing, embedding generation, retrieval strategies (Self-RAG and Agentic RAG), and integration with the Gemini API, is organized within the utils directory.