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LLM-driven automated knowledge graph construction from text using DSPy and Neo4j. | Language: Python
Quick experiment with 457 pages of govt bulletin in 43 seconds and costed $0.002.
An EXCELLENT quick demo implementation of RLM from DSPy! And really this shows how good RLM is at needle in the haystack solutions. In over 3.4M...
A technical discussion of how large language models can speed up GPU kernel optimization, from research ideas to production kernels. DSPy used in...
Collection of Claude Skills for DSPy framework - program language models, optimize prompts, and build RAG pipelines systematically | Language: Python...
DSPy used alongside Amazon Bedrock, Strands Agents.
This section introduces a new wave of AI tools that go beyond orchestration frameworks like CrewAI, AutoGen, and LangGraph. | Channel: Data AI Core
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
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
Recursive Language Models with DSPy optimization - process unlimited context sizes with chunking, 100% accuracy | Language: Python
.net port of https://github.com/stanfordnlp/dspy | Language: C# | License: MIT License
Type-safe prompt management with automatic optimization for LLMs. DSPy-style optimization, A/B testing, multimodal support, and more. | Language:...
Penguiflow, DSPy, OpenAI testing and practice | Language: Python
Local AI code review assistant built on dspy-go. | Language: Go | License: MIT License
Building Private Healthcare AI Assistant for Clinics Using Qdrant Hybrid Cloud, DSPy and Groq - Llama3 | Language: Jupyter Notebook | License: Apache...
An advanced distributed knowledge fabric for intelligent document processing, featuring multi-document agents, optimized query handling, and semantic...
Make DSPy Agentic using protocol-first approach that support the Agent Protocols like MCP, A2A | Language: Python | License: MIT License