FastAPI wrapper around DSPy

RAG example using DSPy, Gradio, FastAPI

Agentic DSPy RAG is a production-ready, multi-agent Retrieval-Augmented Generation (RAG) system built with the DSPy framework. It features vision-based data ingestion, advanced intent classification, specialized agent routing, multi-step reasoning, and a robust FastAPI backend. Designed for high-quality, context-aware conversational AI over complex

A RAG chatbot made with Fastapi, Ollama, ChromaDB, DSPy, and Langchain.

A comprehensive Retrieval-Augmented Generation (RAG) application built with LlamaIndex, DSPy, and FastAPI that provides document analysis, mathematical calculations, and Wikipedia search capabilities.