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AI · alternatives · 2026

24 alternatives to Dabarqus

Add PDF chat to your LLM app in less than 9 lines of code

Below are 24 products that do a similar job, ranked by how close each is in meaning and then by launch-day votes. Dabarqus launched in 2024; newer entries below may have overtaken it.

  1. 1
    RAGstack▲111

    Deploy a private ChatGPT alternative hosted within your VPC

    2023 · github.com · its alternatives →

  2. 2

    Hello HN, Talk2Arxiv is a small open-source RAG application I've been building for a few weeks. To use it just prepend any arxiv.org link with 'talk2' to load the paper into a responsive RAG chat application (e.g. www.arxiv.org/abs/1706.03762 -> www.talk2arxiv.org/abs/1706.03762). All implementation details are in the GitHub. Currently, because I've opted to extract text from the PDF of the paper rather than reading the LaTeX source code (since I wanted to build a more generic PDF RAG in the process), it struggles with symbolic text / mathematics, and sometimes fails…

    2023 · github.com · its alternatives →

  3. 3

    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 · its alternatives →

  4. 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 · its alternatives →

  5. 5

    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 · its alternatives →

  6. 6

    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 · its alternatives →

  7. 7

    Ragas is an open-source library for evaluating and testing RAG and other LLM applications. Github: https://docs.ragas.io/en/stable/, docs: https://docs.ragas.io/. Ragas provides you with different sets of metrics and methods like synthetic test data generation to help you evaluate your RAG applications. Ragas started off by scratching our own itch for evaluating our RAG chatbots last year. Problems Ragas can solve - How do you choose the best components for your RAG, such as the retriever, reranker, and LLM? - How do you formulate a test dataset…

    2024 · github.com · its alternatives →

  8. 8

    Opensource Low code RAG Builder

    2024 · raggenie.com · its alternatives →

  9. 9

    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 · its alternatives →

  10. 10
    Twigg▲157

    Hi HN, we’re Jamie and Matti, co-founders of Twigg. During our master’s we continually found the same pain points cropping up when using LLMs. The linear nature of typical LLMs interfaces - like ChatGPT and Claude - made it really easy to get lost without any easy way to visualise or navigate your project. Worst of all, none of them are well suited for long term projects. We found ourselves spending days using the same chat, only for it to eventually break. Transferring context from one chat to another is also cumbersome. We decided to build something more intuitive to the ways humans think.…

    Oct 2025 · twigg.ai · its alternatives →

  11. 11
    Pdfchatai▲114

    Ask, answer, find items from your PDFs using AI

    2024 · its alternatives →

  12. 12
    ChaturGPT▲161

    Let ChatGPT read all your PDFs and answer your queries

    2023 · chatur.mysticlabs.ai · its alternatives →

  13. 13

    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 · its alternatives →

  14. 14
    LLMDog▲22

    Your code's best friend for seamless LLM conversations

    2025 · llmdog.arif.sh · its alternatives →

  15. 15

    RAG pipeline with PDF OCR, vector search and chat UI

    2025 · github.com · its alternatives →

  16. 16

    Ragas is an open-source library designed for evaluating and testing RAG (Retrieval-Augmented Generation) and other LLM applications. It offers a diverse set of metrics and methods, including synthetic test data generation, to help you assess your RAG applications. Ragas was initially developed to address our own needs for evaluating RAG chatbots last year. ### Problems Ragas Can Solve: - How can you select the best components for your RAG, such as the retriever, reranker, and LLM? - How can you create a test dataset without incurring significant expenses and time? We believe there's a need…

    2024 · github.com · its alternatives →

  17. 17
    Linq▲35

    Build search engine for texts, images and beyond In 1 hour

    2023 · getlinq.com · its alternatives →

  18. 18IB

    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 · its alternatives →

  19. 19

    Hey HN! If you’re at all interested in LLMs/LLM-apps, you’ve probably heard of RAG: Retrieval-Assisted Generation, i.e. retrieving relevant documents to give to your LLM as context to answer user queries. Today, I’m releasing RAGatouille v0.0.1, whose aim is to make it as easy as can be to improve your RAG pipelines by leveraging state-of-the-art Information Retrieval research. As of right now, there’s quite a big gap between common everyday practice and the IR literature, and a lot of the gap is because there just aren’t good ways to quickly try out and leverage SotA IR techniques.…

    2024 · github.com · its alternatives →

  20. 20

    PDF query tool using retrieval augmented generation

    May 2026 · github.com · its alternatives →

  21. 21

    I published my first RAG boilerplate — frontend + backend

    2025 · arjora3.gumroad.com · its alternatives →

  22. 22

    Transform your Documents into an Intelligent Library!

    2024 · ragchat.net · its alternatives →

  23. 23

    I built a proof-of-concept for running RAG (Retrieval-Augmented Generation) entirely in the browser using WebGPU. You can chat with PDF documents using models like Phi-3, Llama 3, or Mistral 7B - all running locally with zero backend. Documents never leave your device. Tech stack: - WebLLM + WeInfer (optimized fork with ~3.76x speedup) - Transformers.js for embeddings (all-MiniLM-L6-v2) - IndexedDB as vector store - PDF.js for parsing The main challenges were: 1. Getting esbuild to bundle without choking on onnxruntime-node 2. Managing COOP/COEP headers for SharedArrayBuffer 3. Keeping…

    Nov 2025 · github.com · its alternatives →

  24. 24RA

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