
RAG Central
A RAG AI chatbot boiler plate.
What it does
RAG Central is a RAG AI chatbot boiler plate. It is a fully functioning self contained website that is fast and lean. It's built using NodeJS, Express, Socket.IO and PassportJS and it uses PostgreSQL with vector add ons for storing vector embeddings. It connects to OpenAI and has Stripe integration (you will need to provide your own API keys to use these features.) RAG Central was built on and designed to run on a low cost / low spec Ubuntu Linux server hosted locally or a hosted VPS.
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TL;DR: Vector-based RAG performs poorly for many real-world applications like codebase chats, and you should consider 'language maps'. Part of our mission at Mutable.ai is to make it much easier for developers to build and understand software. One of the natural ways to do this is to create a codebase chat, that answer questions about your repo and help you build features. It might seem simple to plug in your codebase into a state-of-the-art LLM, but LLMs have two limitations that make human-level assistance with code difficult: 1. They currently have context windows that are too small to…

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Hey hacker news, We’re the cofounders at Psychic.dev (http://psychic.dev) where we help companies connect LLMs to private data. With the launch of Llama 2, we think it’s finally viable to self-host an internal application that’s on-par with ChatGPT, so we did exactly that and made it an open source project. We also included a vector DB and API server so you can upload files and connect Llama 2 to your own data. The RAG in RAGstack stands for Retrieval Augmented Generation, a technique where the capabilities of a large language model (LLM) are augmented by retrieving information…
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