rag-pipelines

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

Explore the use of DSPy for extracting features from PDFs ?

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

DSPy Go implementation

Implementation of Corrective RAG using LangChain and LangGraph.