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A tried and tested collection of DSPy programs | License: MIT License
LLM ChatBot + RAG + Memory using DSPy | Language: Jupyter Notebook
DSPy: The framework for programming—not prompting—foundation models | Language: Python | License: MIT License
Agentic Retail Analyst DSPy-LangGraph project developed at the request of a company | Language: Python
DSPy Prompt Optimization Event | Language: Jupyter Notebook
A DSPy-driven multi-agent system that simulates adversarial legal reasoning by generating competing hypotheses and synthesizing evidence to improve...
Stateful prompt optimization MCP server with embedding-based learning. Uses APE, OPRO, DSPy patterns. | Language: TypeScript
Using a dataset from Cleanlab.ai, evaluate improvements from using DSPy + GEPA optimization. | Language: Jupyter Notebook
Comparing Prompt Engineering techniques for extracting Functional Requirements from medical conversations using DSPy and RAG | Language: Python
Local AI agent project for retail analytics using DSPy and SQLite | Language: Python
Writing Optimized Triton Kernels using DSPy and local LLMs | Language: Python
A local, offline-first AI agent built with DSPy, LangGraph, and Phi-3.5. Combines RAG and SQL to answer retail business questions. | Language: Python