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DSPy中文文档 | Language: TypeScript | License: MIT License
An advanced distributed knowledge fabric for intelligent document processing, featuring multi-document agents, optimized query handling, and semantic...
prompt engineering experiments with DSPy GEPA and TextGrad | Language: Python
This codebase demonstrates various DSPy functionalities through practical examples. | Language: Python
Build your own RAG and run it locally on your laptop: ColBERT + DSPy + Streamlit | Language: Python
A Python package for audio signal processing tools | Language: Python | License: MIT License
A visual pipeline builder for the DSPy (Declarative Self-improving Python) framework.
Generative Ontology for Board Game Design — Multi-agent DSPy pipeline with RAG-enhanced retrieval from BoardGameGeek. Companion code for the...
In this article, we’ll understand what DSPy means and build a practical Text-to-SQL application to see how it works.
A lightweight implementation of the GEPA (Genetic-Pareto) prompt optimization method for large language models. | Language: Python | License: MIT...
A collection of example AI programs built using DSPy and maitained by the Langtrace AI team. | Language: Python | License: MIT License
Prompt engineering doesn't scale—especially when models change, prompts drift, and your “logic” lives inside a giant string. | Channel: VectorLab
Structured output benchmarks comparing DSPy and BAML with different LLMs | Language: Python | License: MIT License
DSPy signatures are structured text that are then compiled into high quality system prompts Links: ... | Channel: Joe Maddalone
Declarative Self Improving Elixir - DSPy Orchestration in Elixir | Language: Elixir | License: MIT License
Local AI code review assistant built on dspy-go. | Language: Go | License: MIT License
Leveraging DSPy for AI-driven task understanding and solution generation, the Self-Discover Framework automates problem-solving through reasoning and...