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jordan-barrett-jm/llm-page-extraction-gepa-dspy
Demonstrates how to use the GEPA prompt optimizer in DSPy to improve a financial statement page extractor. | Language: Jupyter Notebook
ProbioticFarmer/dspy-star-investigation
Evidence of GitHub star manipulation in the DSPy repository (Aug-Sep 2023). Statistical analysis + forensic account investigation identifying 761...
justSteve/RAGinDSPy
DSPy framework recipes for building RAG applications - extracted from weaviate/recipes | Language: Jupyter Notebook
dten1112/dspy-fastapi-api
FastAPI + DSPy + Claude 4 comment generation AP | Language: Python
Austin-Routt/semscore-dspy
Language: Jupyter Notebook | License: Other
sushil-sagar05/Ai-Math-Tutor-Agent
An advanced AI Math Tutor powered by LangGraph workflow orchestration, DSPy symbolic processing, and Qdrant vector search. Features MCP-based web...
dynamikapps/dspy-research-agent
This advanced research agent combines DSPy, ReAct, Tavily Search, and Crawl4AI to generate comprehensive, well-structured research reports. |...
AlessandroAnnini/dspy-llm-evaluator
An evaluation framework for Large Language Model (LLM) responses using DSPy. | Language: Python
RichardHightower/dspy_article_1
DSPy example code for article. | Language: Python
alexandergirardet/dspy-cv-generator
Using DSPy to optimise prompts in generating tailored resumes based on a Job Description. | Language: Jupyter Notebook
RichardHightower/dspy_article_2
DSPy example code for 2nd article. | Language: Python
vardhanam/dspy-multihop-qdrant
Designing a multi-hop RAG using DSPy and Qdrant | Language: Jupyter Notebook
chenmoneygithub/DSPy-Southcal-Meetup
The presentation material for southcal meetup | Language: Jupyter Notebook
legendkong/DSPy-comparison
Comparison between DSPy vs LangChain for a simple RAG application. | Language: Python