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marcusjihansson/dspy-refrag
DSPy Retrieval-Enhanced Fine-Grained Retrieval Augmented Generation (REFRAG) framework, for an improved RAG in DSPy. This is originally developed by...
nshkrdotcom/ds_ex
DSPEx - Declarative Self-improving Elixir | A BEAM-Native AI Program Optimization Framework | Language: Elixir | License: MIT License
prrao87/structured-outputs
Micro benchmark comparing DSPy and BAML for structured outputs | Language: Python | License: MIT License
tomek1911/GEPAR3D
[MICCAI 2025] Official repository for the 2025 MICCAI Paper "GEPAR3D: Geometry Prior-Assisted Learning for 3D Tooth Segmentation" | Language: Jupyter...
gepa-ai/gepa-artifact
Language: Jupyter Notebook | License: MIT License
nielsgl/dspy-profiles
DSPy Profile Manager | Language: Python | License: MIT License
kuzudb/dspy-kuzu-demo
Intro to using DSPy with Kuzu to enrich the data within the Nobel Laureate mentorship network | Language: Python | License: MIT License
krypticmouse/dspy-docs
Official Documentation for DSPy Library | Language: Python
mznmel/imposterAgent
AI agents play a word game using DSPy, one is the Imposter, and the rest vote to find out who 🕵️ | Language: Python
halfprice06/huberman-rlm
Q&A over Huberman Lab podcast transcripts using DSPY + RLM.
Tweet Thread: RLM implementation in Gemini Ecosystem
Implements Recursive Language Models (RLM) for Gemini using strictly Google ecosystem tools, Google Colab (for the runtime/compute), Vertex AI (for...
dspy-cli - DSPy programs as HTTP APIs in seconds - Drew Breunig
Drew ran strategy, data science, and major client projects at PlaceIQ (acquired by Precisely) – a pioneer in mobile location ... | Channel:...
yotambraun/flowprompt
Type-safe prompt management with automatic optimization for LLMs. DSPy-style optimization, A/B testing, multimodal support, and more. | Language:...
DSPy: The End of Prompt Engineering - Kevin Madura, AlixPartners
Applications developed for the enterprise need to be rigorous, testable, and robust. The same is true for applications that use AI, ... | Channel: AI...
vicentereig/a2ui-rails
A2UI for Rails - LLM-driven UI generation with DSPy.rb and Turbo Streams | Language: Ruby
napmany/cutia
CUTIA: compress prompts while preserving quality | Language: Python | License: MIT License
DSPy: Advanced RAG
Part II of our series: "DSPy: Advanced RAG"! Building on our initial exploration of prompt engineering, this session expands into the dynamic...
Youtube Reel - GEPA Introduction (Genetic-Pareto Prompt Optimizer)
GEPA can improve your AI agent performance simply by evolving the instruction or prompt.