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AI · alternatives · 2026

24 alternatives to Quilt

Chat with your documents using cutting-edge RAG

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

  1. 1QP

    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 →

  2. 2

    Transform data chaos into scientific clarity with Quilt, the AI-powered platform that accelerates research and ensures compliance for life sciences teams.

    2017 · quiltdata.com · its alternatives →

  3. 3
    Fabric▲690

    Make notes, tasks, and search, directly from the terminal.

    2023 · fabric.so · its alternatives →

  4. 4

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

    2024 · dabarqus.com · its alternatives →

  5. 5
    Bloc▲360

    Turn your knowledge base to AI chat in 2 minutes and share

    2023 · its alternatives →

  6. 6

    Hey there HN! We’re Antonio, Luca, and Yuhang, and we’re excited to introduce Fast GraphRAG, an open-source RAG approach that leverages knowledge graphs and the 25 years old PageRank for better information retrieval and reasoning. Building a good RAG pipeline these days takes a lot of manual optimizations. Most engineers intuitively start from naive RAG: throw everything in a vector database and hope that semantic search is powerful enough. This can work for use cases where accuracy isn’t too important and hallucinations are tolerable, but it doesn’t work for more difficult queries that…

    2024 · github.com · its alternatives →

  7. 7

    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 →

  8. 8
    RAGstack▲111

    Deploy a private ChatGPT alternative hosted within your VPC

    2023 · github.com · its alternatives →

  9. 9

    Dive deep into AI Retrieval Augmented Generation (RAG)

    2024 · ragaboutit.com · its alternatives →

  10. 10

    Not all improvements come from adding complexity — sometimes it's about removing it. PageIndex takes a different approach to RAG. Instead of relying on vector databases or artificial chunking, it builds a hierarchical tree structure from documents and uses reasoning-based tree search to locate the most relevant sections. This mirrors how humans approach reading: navigating through sections and context rather than matching embeddings. As a result, the retrieval feels transparent, structured, and explainable. It moves RAG away from approximate "semantic vibes" and toward explicit reasoning…

    2025 · github.com · its alternatives →

  11. 11

    Build RAG applications on your user data

    2025 · ragie.ai · its alternatives →

  12. 12
    Bit.ai▲94

    🚀Create, Manage & Track Documents All From One Place.

    2018 · its alternatives →

  13. 13

    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 →

  14. 14

    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 →

  15. 15
    Doks▲41

    RAG Creation Tool

    2025 · its alternatives →

  16. 16

    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 · its alternatives →

  17. 17
    Docubot▲18

    Chat with your all of your documents using RAG w/ Reranking

    2025 · docubot.app · its alternatives →

  18. 18

    RAG-Ready, Any Data & Any Form

    2024 · its alternatives →

  19. 19

    Transform your Documents into an Intelligent Library!

    2024 · ragchat.net · its alternatives →

  20. 20

    RAG pipeline with PDF OCR, vector search and chat UI

    2025 · github.com · its alternatives →

  21. 21

    I'm building LiquidIndex, an RAG API service that makes it easy to add personalized context to AI apps. Instead of building a whole system to upload, process, and search through a user’s files or notes, you just call a few APIs. It handles the hard parts - like connecting to Notion or Google Drive, breaking the data into usable pieces, and making it searchable. Then, when you want to answer a question using that data, you just query it, and it gives you the most relevant results - optionally with an LLM-generated answer. No pipelines, no infrastructure, no headaches. Here are the core APIs:…

    2025 · liquidindex.dev · its alternatives →

  22. 22

    RAGLite is a Python package for building Retrieval-Augmented Generation (RAG) applications. RAG applications can be magical when they work well, but anyone who has built one knows how much the output quality depends on the quality of retrieval and augmentation. With RAGLite, we set out to unhobble RAG by mapping out all of its subproblems and implementing the best solutions to those subproblems. For example, RAGLite solves the chunking problem by partitioning documents in provably optimal level 4 semantic chunks. Another unique contribution is its optimal closed-form linear query adapter…

    2024 · github.com · its alternatives →

  23. 23

    APIs for building AI chat and search

    Feb 2026 · agentset.ai · its alternatives →

  24. 24
    Linq▲35

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

    2023 · getlinq.com · its alternatives →

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Ranked by how close each launch is in meaning, then by votes. Prices were read from each product’s own site when checked and can change. Refine with your own description →