Alternatives
Products that do what Gurubase – AI-Powered Q&A Assistants for Any Topic does
Hey everyone, A couple of months ago, we created Gurubase.io to build RAG-based Q&A agents focused on open-source tools, with the goal of helping developers learn and troubleshoot more effectively. Since then, it has gained momentum, with hundreds of repositories already using it and showcasing it to their users.. https://github.com/Gurubase/gurubase?tab=readme-ov-file#used... Today, we've released the entire system as an open-source project, allowing you to install it in your own infrastructure and create "Gurus" on any topic you choose. Current capabilities of Gurubase:…
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https://the-pocket.github.io/Tutorial-Codebase-Knowledge/
2025 · github.com
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We’ve trained a generative AI model to browse the web and answer questions/retrieve code snippets directly. Unlike ChatGPT, it has access to primary sources and is able to cite them when you hover over an answer (click on the text to go to the source being cited). We also show regular Bing results side-by-side with our AI answer. The model is an 11-billion parameter T5-derivative that has been fine-tuned on feedback given on hundreds of thousands of searches done (anonymously) on our platform. Giving the model web access lessens its burden to need to store a snapshot of human knowledge…
2022 · beta.sayhello.so
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I built this tool because I wanted a way to just take a bunch of URLs or domains, and query their content in RAG applications. It takes away the pain of crawling, extracting content, chunking, vectorizing, and updating periodically. I'm curious to see if it can be useful to others. I meant to launch this six months ago but life got in the way...
2024 · embedding.io
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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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