R

Retrieval Augmented Generation

Domain Adapted Language Modeling Toolkit - E2E RAG

🔧🔗https://github.com/getzep/chat-langchain-with-zep

Langchain Chat over Documents + Zep Memory

🔧🔗 Ragdaemon Ragdaemon is a Retrieval-Augmented Generation (RAG) system for code. It runs a daemon (background process) to watch your active code, put it in a knowledge graph Generate and render a 3d call graph for a Python project

https://github.com/run-llama/finetune-embedding Fine-Tuning Embedding for RAG with Synthetic Data deprecated

https://github.com/run-llama/ai-engineer-workshop Building, Evaluating, and Optimizing your RAG App for Production

https://github.com/run-llama/modal_finetune_sql finettune llama against a sqldb

https://github.com/run-llama/rag-bedrock Advanced Retrieval Augmented Generation patterns with AWS Bedrock and LlamaIndex www.madhats.ai/

Awesome RAG 📄🔍 A curated list of awesome resources for RAG (Retrieval Augmentation Generation) exploration.

Build ChatGPT over your data, all with natural language

https://github.com/run-llama/llamabot A Retrieval-Augmented GenAI Slackbot in LlamaIndex

https://github.com/run-llama/mongodb-demo LlamaIndex retrieval augmented generation with MongoDB, Flask and Next.js

The first RAG retriever tuned particularly for code and code Llama