Alternatives
Products that do what RAG Central does
A RAG AI chatbot boiler plate.
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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…
2024 · twitter.com
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We show the potential of modern, embedded graph databases in the browser by demonstrating a fully in-browser chatbot that can perform Graph RAG using Kuzu (the graph database we're building) and WebLLM, a popular in-browser inference engine for LLMs. The post retrieves from the graph via a Text-to-Cypher pipeline that translates a user question into a Cypher query, and the LLM uses the retrieved results to synthesize a response. As LLMs get better, and WebGPU and Wasm64 become more widely adopted, we expect to be able to do more and more in the browser in combination with LLMs, so a lot of…
2025 · blog.kuzudb.com
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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…
2023 · github.com
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Build AI chatbots with RAG, multi-LLM Human Handover no-code
Oct 2025
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Hi! It's a complete product with integrations to Auth0, OpenAI, Google Cloud and Stripe, which consists of Next.js Web App, Node.js + Express Web API and Python + FastAPI AI API I've built this software, because I wanted to make money by selling tokens to enable users talking with the chatbot. But I think Google / Apple will include such AI-powered assistant in their products soon, so nobody will pay me for using it So I open source the product today and share it as a GNU GPL-2 licensed software I'm happy to assist in case if something is unclear or requires additional docs and answer…
2023 · github.com
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It works on top of the open-source workflow engine windmill [1] that you can easily self-host on a tiny server or a large k8s cluster. You will also need pgvector (here hosted on supabase) and of course a GPT4 api key. It showcases an approval step so that you only provide answers you are confident giving to your users, which feels less robotic. All the building blocks are scripts that you can reuse outside of windmill and you could build this in any other workflow engines (although less conveniently). We use it for our own needs on discord [2] and thoughts this was a common need for any…
2023 · windmill.dev
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