local-assistant-examples by vndee

RAGify is designed to enhance search capabilities using Retrieval-Augmented Generation (RAG). By combining traditional web search with AI-driven contextual understanding, RAGify retrieves relevant information from the web and generates concise, human-readable summaries. Maintained by pcastiglione99 on GitHub, where it has earned 31 stars from the community.

A Docker-powered RAG system that understands the difference between code and prose. Ingest your codebase and documentation, then query them with full privacy and zero configuration. Maintained by 2dogsandanerd on GitHub, where it has earned 351 stars from the community.

Running local Language Language Models (LLM) to perform Retrieval-Augmented Generation (RAG). Maintained by amscotti on GitHub, where it has earned 286 stars from the community.