This codebase demonstrates various DSPy functionalities through practical examples.

LLM-driven automated knowledge graph construction from text using DSPy and Neo4j

Stateful AI Agent for Knowledge Extraction

AI agents implementation to demostrate agentic programming frameworks and concepts like DSPy, MCP, etc.

A focus on aligning room elements for better flow and space utilization.

🤖 Autonomous agentic system for visual analytics in the GenAI era

STEP Web agent for WebArena using dspy.

A multi-agent system built with DSPy that coordinates research and writing agents to produce comprehensive articles on any topic.

Useful modules that can be smoothly plugged into your DSPy projects.

This codebase implements a Retrieval-Augmented Generation (RAG) chatbot using the Gemini API and DSPy framework, designed to answer questions based on the HotPotQA dataset. It includes components for loading data, generating responses, and evaluating model performance through various QA strategies, including basic QA and multi-hop retrieval.

Different approaches to RAG

TorchON : Optimized information retrieval application creation and deployment - easily make an good knowledge retrieval app, then share it securely with your colleagues

Generate exam questions based on slides, notes or other PDFs. Answer and grade them in your browser!

A Multistep Question Answering Graphrag system with LLM routing to optimize answer quality

Learn DSPy framework by coding text adventure game

Experimental DSPy project exploring AI-powered movie analysis and resume evaluation using local language models, demonstrating LM pipeline techniques and prompt optimization.

This repo explain DSPy library with different examples.