Open-source AI-powered data science platform.

This codebase demonstrates various DSPy functionalities through practical examples.

Building a Chain of Thought RAG Model with DSPy, Qdrant and Ollama

Building Private Healthcare AI Assistant for Clinics Using Qdrant Hybrid Cloud, DSPy and Groq - Llama3

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

Stateful AI Agent for Knowledge Extraction

Exploring advanced prompting tools to query SQL database with multiple tables in natural language using LLMs

Discover advanced AI techniques in my repository combining Multi-Hop Chain of Thought (CoT) and Retrieval-Augmented Generation (RAG) using DSPy and Indexify. Enhance complex problem-solving with multi-step reasoning and external knowledge integration. Perfect for AI enthusiasts and researchers.

An AI agents framework addressing the two core challenges with real world agents - Optimisation and Deployement

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

STEP Web agent for WebArena using dspy.

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

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

Evaluation of DSpy, LMQL and Jaclang's MTLLM Feature on problem set of different difficulty levels based on the technique used and difficulty of the problem itself.

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

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

Different approaches to RAG

Examples created by the members of AI&U for DSPy

A comprehensive demonstration project for DSPy, showcasing various advanced features and patterns for programming foundation models.