The ultimate LLM Ops platform - Monitoring, Analytics, Evaluations, Datasets and Prompt Optimization ✨

Unified Go interface for Language Model (LLM) providers. Simplifies LLM integration with flexible prompt management and common task functions.

Multi-Faceted AI Agent and Workflow Autotuning. Automatically optimizes LangChain, LangGraph, DSPy programs for better quality, lower execution latency, and lower execution cost. Also has a simple agent/workflow framework

WIP - Allows you to create DSPy pipelines using ComfyUI

Experimental Code for StructuredRAG: JSON Response Formatting with Large Language Models

Simple Graph Memory for AI applications

Build your own RAG and run it locally on your laptop: ColBERT + DSPy + Streamlit

Explore the use of DSPy for extracting features from PDFs 🔎

This codebase demonstrates various DSPy functionalities through practical examples.

DSPy program/pipeline inspector widget for Jupyter/VSCode Notebooks.

A framework for pitting LLMs against each other in an evolving library of games ⚔

DSPy Go implementation

Stateful AI Agent for Knowledge Extraction

🤖 AIDevOS: AI-Driven Autonomous DevOps System | Multi-agent collaboration framework with DSPy integration for automated application development and deployment via Durable Objects

Determines your "mood" for the week and uses AI to generate a music playlist.

Sentiment analysis of DynaSent and SST reviews using ELECTRA and GPT collaboration

A PoC of using Weaviate + DSPy to make a BookStore CoPilot

Understanding DSPy with RAG approach

A multi-agent system predicting student misconceptions using the Exchange-of-Thought (EoT) framework, utilizing dspy and OpenAI to process questions, generate misconceptions, and evaluate semantic similarities.