rag-pipelines

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

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

Open-source AI-powered data science platform.

WIP - Allows you to create DSPy pipelines using ComfyUI

DSPy Go implementation

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

The Ruby framework for programming—rather than prompting—language models.

Simple Graph Memory for AI applications

The goal is to parse,process and ingest codebase/s to form a pluggable knowledge Graph and become the unified code context provider

Minimal agent runtime built with DSPy modules and a thin Python loop. Includes CLI, FastAPI server, and eval harness with OpenAI/Ollama support.