Alternatives
Products that do what Create RAG-powered pages to get answers from your docs– without coding does
Hey folks! I wanted to share one of the latest projects I worked on, called Vectara Portal. It's an application that allows users of our platform (https://vectara.com/) to create shareable pages that let you and other users (privately, if you wish) chat with, search through, or get answers from your documents. This began as a side project resulting from a question over lunch: "How do we put the power of our platform into the hands of users, without requiring them to code?" One hackathon weekend later, plus a few more days' worth of improvements, Portal was born. It's…
- 1TA
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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- 3IA
Hello HN, I am building Docmost, an open-source collaborative wiki and documentation software. It is an open-source alternative to Confluence and Notion. I have been working on it for the past 12 months. This is the first public release (beta). The rich-text editor has support for real-time collaboration, LaTex, inline comments, tables, and callouts to name a few. Features - Collaborative real-time editor - Spaces (Teamspace) - User permissions - Groups - Comments - Page history - Nested pages - Search - File attachments You can find screenshots of the product on the website. Website:…
2024 · github.com
- 4QP
Hey HN! We've just launched Quilt, a robust RAG (Retrieval-Augmented Generation) UI that revolutionizes how you interact with your documents. Key features: - Multi-user setup with private/public document collections - Advanced hybrid RAG pipeline combining full-text & vector search - Smart citations with in-browser PDF preview and highlights - Fully customizable settings and prompts through the UI Making an account is free, no need to even use a strong password: this is only to ensure your documents are separate from the rest. We're keen to hear your thoughts and feedback. What features…
2024 · quilt.fly.dev
- 5LA
Hi HN! Vectara is a "batteries included" retrieval augmented generation platform. You can upload your rich text documents like PDFs, HTML pages, word docs, etc, or semi-structured JSON and Vectara handles the text and metadata extraction, segmentation, vector embedding, and vector storage, and keyword storage. You can ask a question or perform a search in the UI or via our APIs and Vectara will automatically handle the vectorization, structured metadata filtering, vector+keyword retrieval, hybrid blending, and generative summarization of the results. We're focusing on building and…
2023 · vectara.com
- 6DR
I'd like to invite everyone to try out DontBeEvil.rip, an experimental search engine for developers. tl;dr $ alias rip="curl -G -H 'Accept: text/plain' --url https://dontbeevil.rip/search --data-urlencode " $ rip 'q=Heartbleed bug' DontBeEvil.rip is a year long experiment to see if a small team can build a developer-focused search engine that is self-sustaining on $10 monthly subscriptions. It works by only indexing high-quality resources that are relevant to developers. You won't get useless listicles because we'll never crawl them. Relevant urls are harvested from HN,…
2022
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- 8IB
Hey all! I wanted to share this project I've been working on that can maybe help you or your developer friends out. I built a RAG system for our product a while back and didn't realize how easy they were to get started. So I put together my learnings into this online course. It's not quite ready but if you sign up and mention HackerNews, I can get you early access. I'm looking to get feedback on the following: (1) materials — is it engaging & did you learn something? (2) UI/UX of the platform — did you have any issues that prevented you from starting or finishing the tutorial? (3)…
2024 · takehomes.com
- 9HW
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
- 10DA
I've built an advanced RAG (Retrieval-Augmented Generation) pipeline from scratch to demystify the complex mechanics of modern LLM-powered Question Answering systems. This repository features: -- An implementation of a sub-question query engine from scratch to answer complex user questions. -- Illustrative explanations that unveil the inner workings of the system. -- An analysis of the challenges I faced while working with the system, like prompt engineering and cost estimation. -- Qualitative comparison with similar frameworks like LlamaIndex, offering a broader perspective. Key Takeaway:…
2023 · github.com
- 11RP
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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- 13IJ
Hi HackerNews, Lately, I have seen an explosion in posts offering paid APIs/services to get unstructured data into LLMs (i.e. langchain extract, ragflow, unstructured, unstract, just to name a few) and I have been largely disappointed by them, either because they fail to implement multimodal support, fail to give good context for "really tricky" PDFs / Word docs / Powerpoints, or are just plain difficult to use. In light of all these posts I figured I'd share my solution that has been working smoothly for me and my clients. I put it up on GitHub for free so you can check it…
2024 · github.com
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- 15BC
For the last few years, I've been working at a non-profit called Hack Club developing tools to support self-motivated teens to learn about technology and build community with other like-minded peers while doing so. This has resulted in the development of a model called "you ship, we ship." We build open source creative coding environments, and when teenagers share the projects they make with these tools, we send them materials to dive deeper into the subject and related technologies. Our approach is predicated on the constructionist idea that people learn best by building things they care…
2024 · github.com
- 16SC
Hey Hackernews, I'm Ofer, head of developer relations at Vectara. Some of us read a lot of articles on the web, like those on HN, and it seems useful to be able to search the contents of the text we read (using semantic search), or ask questions about it (ChatGPT style). Sankofa is a new browser extension that allows you to index web pages you visit and search / ask questions about that content. We built it using Vectara's retrieval-augmented-generation (RAG) platform and hope this is useful to folks. This is an initial release - we would love to hear any feedback and suggestions. BTW,…
2024 · github.com
- 17IM
Hey everyone! I’m extremely excited to share a project I led for our company- Vectara. If you’re not familiar with us, we specialize in retrieval augmented generation, or RAG, allowing you to get the most accurate answers and summaries about your data. But more than that, we also do semantic search. And I’m proud to say I work with some really great engineers who ensure that we do that pretty darn well too! And that’s where this comes in. For my fellow React developers out there, this one’s for you! Our new ReactSearch component allows you to add a semantic search UI, powered by our…
2024 · github.com
- 18AW
I've been presenting at local meetups about Context Engineering, RAG, Skills, etc.. I even have a vbrownbag coming up on LinkedIn about this topic so I figured I would make a basic example that uses bedrock so I can use it in my talks or vbrownbags. Hopefully it's useful.
Apr 2026 · github.com
- 19AF
Hello HN! I wanted to share a side project of mine: a fully standalone app that uses a local LLM (specifically Mistral 7B) for document interaction using RAG. It supports a wide variety of document types and is designed to run right after installation. There are still quite a few bugs to iron out and many features I'm excited to add. Considering this is my first time working on such a project, I'm really happy with the progress and am learning a ton! The project is open source, so I please feel free to check out my work and leave any feedback :)
2024 · github.com
- 20TT
Hi HN, I built this little application for setting up RAG on Youtube video transcripts. I haven't seen a lot of RAG for multimodal use-cases so I thought this was interesting. It uses YoutubeDL to get transcripts and Vectara to set up the RAG system. It's multilingual so other languages besides english work as well. The answer produced by the LLM has references with timestamps to where its deriving information from from within the video. Right now the interface is a clunky terminal but I'm planning on adding a UI or maybe a voice I/O interface to the app. Full disclosure: I work at…
2023 · github.com
- 21RW
RAG Web UI is designed to be the most straightforward way to build your own knowledge-based Q&A system. While other RAG (Retrieval-Augmented Generation) projects might be complex, we focus on making it super easy to understand and use. Why It's The Most Beginner-Friendly: Simple Document Management - Just upload your documents (PDF, DOCX, Markdown, Text) - System handles all the complex processing automatically - No need to worry about document chunking or vectorization - Documents update automatically in the background Easy-to-Use Chat Interface - Ask questions in plain language - Get…
2025 · github.com
- 22IM
Hey developers I think we're tired of copying and pasting our codes and sharing links using PasteBin, GithubGist, or Slack. What if you could share the codes without copying the link and share them right from your favorite editor? That was the motivation for creating TurboGist. Right now, it's still in the MVP stage, and I'm trying to gather feedback from developers like you. It's available as a beta in the VS Code Extension store. Can you guys check this out? It'd help me a lot. You don't need to pay any penny, 100% FREE. However, I'm working on introducing a self-hosted feature. Besides, a…
2025 · turbogist.dev
- 23SB
Hey there HN! I lead Product at Vectara. Some of us read a lot of articles on the web (like those on HN) and we were desperately trying to recall the text we read -- using semantic search because we might not have remembered the exact text we read. (Or ask questions about the content -- ChatGPT style.) Sankofa is a new browser extension that can automatically index web pages you visit and let you search / ask questions about that content. We built it using Vectara's retrieval-augmented-generation (RAG) platform and hope this is useful to folks. This is an initial release: we would love…
2024 · vectara.com
- 24JS
Hey HN, I’m Julia, my team and I are building Rag-in-a-Box (https://www.joinable.ai/rag-in-a-box), hosted RAG service that let’s builders of any skill level launch their own RAG app loaded with their own data in minutes. [ What can you do ] 1. Load your documents (PDFs, CSV, PPTs, Word Docs, etc) and make them searchable instantly. All your data stays private and encrypted. 2. Choose latest open source LLM (Llama 4, Deepseek, GPT-oss, etc) to interact with your docs 3. Access your hosted RAG via API - build your own custom front end or integrate with your existing product…
2025 · joinable.ai
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