mateBarey/Rag-GEN-AI
Use Dspy and weaviate on local llm llama to create RAG(retrieval augmented generation) content from a query | Language: Jupyter Notebook
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Use Dspy and weaviate on local llm llama to create RAG(retrieval augmented generation) content from a query | Language: Jupyter Notebook
基于DSPy 和streamlit,依赖数据驱动,实现自优化提示词。 | Language: Python
DSPy & DSPt together. Full stack DSP! | Language: TypeScript
A lightweight framework for optimizing LLM responses using DSPy, with support for both cloud and local models. | Language: Python
DSPy-powered financial analysis tool that generates comprehensive investment reports for publicly traded companies | Language: Python
Signatures for LLM / ML workloads in Rust. Inspired by DSPy | Language: Rust
Using DSPy and Qdrant to Build a DevOps AI Assistant | Language: Jupyter Notebook
Cognitive-ready DSPy bridge for Snakepit infrastructure | Language: Elixir
🏥🤖 Medical agent implemented with DSPy | Language: Jupyter Notebook
Multi-agent AI orchestration system with dynamic DSPy signatures and shared filesystem memory | Language: Python
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
This Repo Contains DSPy learning resources | Language: Jupyter Notebook | License: MIT License
Ottimizzatore di prompt con DSPy e OpenAI - Interfaccia web per migliorare automaticamente i tuoi prompt | Language: Python | License: MIT License