AI · alternatives · 2026

24 alternatives to Document Endpoints

One-click RAG Endpoints for your Documents

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

1
Turn any website into a knowledge base for LLMs▲305
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 →
2
Dabarqus▲92
Add PDF chat to your LLM app in less than 9 lines of code
2024 · dabarqus.com · its alternatives →
3QP
Quilt – Powerful RAG UI for Document QA▲63
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 →
4
LiquidIndex 2.0▲134
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 →
5
folio▲74
hi HN! a couple of months ago I had to analyze a few thousand audio recordings to help identify issues with customer support. i was able to get some raw high-level initial results with python scripts invoking LLM APIs, but they were too general and unhelpful. writing basic prompts is easy, but tuning them and making them specific enough to ensure no faint signal is missed is hard. you need to iterate through the data with an initial prompt, segment the data into different buckets, chain another prompt for each bucket etc. Then you need to constantly review the raw data to tweak the prompts…
Apr 2026 · usefolio.ai · its alternatives →
6
Linq▲35
Build search engine for texts, images and beyond In 1 hour
2023 · getlinq.com · its alternatives →
7
I just open sourced my document/website extractor for Vision-LLMs▲37
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 · its alternatives →
8
Rag Document Viewer▲22
High‑Fidelity Document Viewer for RAG Apps
2025 · github.com · its alternatives →
9
Alerting in realtime RAG: spot changes to LLM answers, using few tokens▲8
Hi I am Jan, CTO @ Pathway. A use case we have been working on with LLMs is to let people know when an answer to their query changes due to revisions of source documents. Obviously, we want to avoid periodically re-computing all queries for the LLM. Why I think it’s cool? - We don’t spin in a loop to repeat with the LLM. - Alerts are LLM-deduplicated - no spamming users with typo fixes - And the best - our framework, Pathway takes care of handling the updates, the example looks nearly like a regular, static RAG chatbot. More context + GIF of how it works for Google Drive document alerts:…
2023 · github.com · its alternatives →
10
Docubot▲18
Chat with your all of your documents using RAG w/ Reranking
2025 · docubot.app · its alternatives →
11
RAG Playground▲5
Turn any URL into LLM-ready Markdown.
Dec 2025 · rag-playground-converter.vercel.app · its alternatives →
12
RAG Web UI – Possibly the Most Beginner-Friendly RAG Knowledge Base▲5
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 · its alternatives →
13
Doc-scraper, offline searchable docs corpora for coding agents (Go)▲5
Go web crawler to scrape documentation sites and convert content to clean Markdown for LLM ingestion (RAG, training data). - Sriram-PR/doc-scraper
Sep 2026 · github.com · its alternatives →
14
Doks▲41
RAG Creation Tool
2025 · its alternatives →
15
Context Weaver▲2
tool to merge documents for LLMs
Feb 2026 · context-weaver.vercel.app · its alternatives →
16IB
I built a browser-based tutorial for learning RAG for LLMs▲25
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 →
17
RAGatouille, a simple lib to use&train top retrieval models in RAG apps▲15
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 →
18
app for interaction with documents using local LLM (mini Chat With RTX)▲19
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 →
19
Clean docs for LLMs▲6
Crawl docs. Compose concise llms.txt.
2025 · its alternatives →
20FA
Free API to extract PDF data▲13
Hi HN, Like everyone, I'm working on an product that uses LLMs to extract data from photos and documents. Part of the processing pipeline is extracting data from PDFs as raw text or a raster image. As part of our leadgen strategy, we've opened our REST API that lets you process pages of a PDF. The API is completely free to use anonymously, but is rate limited to 1 page per 30 seconds. Creating a free account removes this restriction. The two endpoints are: - https://extract.dev/api/pages/extract/raster - Rasterize a page of a PDF -…
2025 · its alternatives →
21
AI support chatbot with RAG and citations – one back end file, no infra▲9
Upload markdown docs, get a support chatbot that answers with citations. The entire backend is one JS file — storage, search, and conversation history are handled by the runtime. Stack: Next.js + OnCell + OpenRouter. Demo: https://youtu.be/rWIU43pOH5Y
Apr 2026 · github.com · its alternatives →
22
PDF RAG▲8
RAG pipeline with PDF OCR, vector search and chat UI
2025 · github.com · its alternatives →
23
Simple CLI to aggregate repos, papers and docs for LLM ingestion▲8
I created a tool that consolidates information from the following inputs: GitHub repository URL (e.g., https://github.com/jimmc414/onefilellm) arXiv abstract URL (e.g., https://arxiv.org/abs/2401.14295) Local folder path (e.g., C:\python\PipMyRide) Youtube video URL (e.g., https://www.youtube.com/watch?v=KZ_NlnmPQYk) Webpage URL (e.g., https://llm.datasette.io/en/stable/) It outputs the repo, web documentation, arXiv paper or YT transcript to a text file and the clipboard, displaying a token count. It also…
2024 · github.com · its alternatives →
24
RAG Retrieval-Augmented Generation Codes▲6
I published my first RAG boilerplate — frontend + backend
2025 · arjora3.gumroad.com · its alternatives →

Also compare

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 →