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LLM-driven automated knowledge graph construction from text using DSPy and Neo4j. | Language: Python
Penguiflow, DSPy, OpenAI testing and practice | Language: Python
Using Python and DSpy’s Recursive Language Model implementation to handle unbounded context lengths. | Language: Python | License: MIT License
Building Private Healthcare AI Assistant for Clinics Using Qdrant Hybrid Cloud, DSPy and Groq - Llama3 | Language: Jupyter Notebook | License: Apache...
DSPy program/pipeline inspector widget for Jupyter/VSCode Notebooks. | Language: Python | License: GNU General Public License v3.0
Make DSPy Agentic using protocol-first approach that support the Agent Protocols like MCP, A2A | Language: Python | License: MIT License
DSPY on action with OpenSource LLMs. | Language: Jupyter Notebook
Stop prompt engineering! Program your LLMs with DSPy | Language: Jupyter Notebook
Full-parity TypeScript port of DSPy — automated prompt optimization for LLMs | Language: TypeScript | License: MIT License
Small CLI tool to co-view a research paper or long document with your agent using DSPy's RLM. | Language: Python | License: MIT License
RAG with LLM Prompt Optimisation and Output Structurisation | Language: Python
This skill bridges the gap between the Haystack orchestration framework and DSPy’s optimization engine, allowing developers to automatically tune...
ContextLoom is the shared "brain" for multi-agent systems. It weaves together memory threads from frameworks like DSPy and CrewAI into a unified,...
AI Engineer Workshop - DSPy is All You Need | Language: Jupyter Notebook | License: MIT License
In Japanese language, introduction to DSPy.
This is a Demo of Optical Character Recognition task using FastApi , ReactJs, PostgreSQL, Gemini AI, DSPy prompt engineering ... | Channel: Jayesh...
MCP server integrating GEPA (Genetic-Evolutionary Prompt Architecture) for automatic prompt optimization with Claude Desktop | Language: Python |...
Discover advanced AI techniques in my repository combining Multi-Hop Chain of Thought (CoT) and Retrieval-Augmented Generation (RAG) using DSPy and...
Building a Chain of Thought RAG Model with DSPy, Qdrant and Ollama | Language: Jupyter Notebook | License: Apache License 2.0
A framework for pitting LLMs against each other in an evolving library of games ⚔ | Language: Python | License: Apache License 2.0