A simple Common Lisp example of using LLMs with RAG 

cl-rag-example

Everything you need to know to build your own RAG application

MIT License

bRAG-langchain

AI orchestration framework to build customizable, production-ready LLM applications. Connect components (models, vector DBs, file converters) to pipelines or agents that can interact with your data. With advanced retrieval methods, it's best suited for building RAG, question answering, semantic search or conversational agent chatbots.

Apache License 2.0

haystack

Python ETL framework for stream processing, real-time analytics, LLM pipelines, and RAG.

cl-rag-example

bRAG-langchain

haystack

pathway