AI · alternatives · 2026
24 alternatives to Rag Document Viewer
High‑Fidelity Document Viewer for RAG Apps
Below are 24 products that do a similar job, ranked by how close each is in meaning and then by launch-day votes.
- 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 →
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The PDF parser is a rule based parser which uses text co-ordinates (boundary box), graphics and font data. The PDF parser works off text layer and also offers a OCR option to automatically use OCR if there are scanned pages in your PDFs. The OCR feature is based off a modified version of tika which uses tesseract underneath. The PDF Parser offers the following features: * Sections and subsections along with their levels. * Paragraphs - combines lines. * Links between sections and paragraphs. * Tables along with the section the tables are found in. * Lists and nested lists. * Join content…
2024 · github.com · its alternatives →
- 4
Hi, I've just finished a rebuild of this function and added a lot of new features: info, page index, minimap, inverted index,... I think it may be useful for inspection, debugging or just as a learning resource showcasing the PDF file format. This is a pet project and I would be happy to receive some feedback! Regards
2025 · github.com · its alternatives →
- 5
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 →
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I got tired of open file.docx → wait 8 seconds → close Word just to read a document, so I built a terminal-native Word viewer! What it does: * View `.docx` files directly in your terminal with (mostly) proper formatting * Tables actually look like tables (with Unicode borders!) * Nested lists work correctly with indentation * Full-text search with highlighting * Copy content straight to clipboard with `c` * Export to markdown/CSV/JSON Why I made this: Working on servers over SSH, I constantly hit Word docs I needed to check quickly. The existing solutions I'm aware of either strip…
2025 · github.com · its alternatives →
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emacs-viewer - A web frontend for your Org-files (100% faithful to GNU+Emacs!)
2022 · codeberg.org · its alternatives →
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Fileloom▲82A free, ad-free Android viewer for all your files
May 2026 · play.google.com · its alternatives →
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A Python CLI to test, benchmark, and find the best RAG chunking strategy for your Markdown documents. - messkan/rag-chunk
Nov 2025 · github.com · its alternatives →
- 14
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 →
- 15AW
2012 · ragic.com · its alternatives →
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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 →
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Rag About It▲48Dive deep into AI Retrieval Augmented Generation (RAG)
2024 · ragaboutit.com · its alternatives →
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RAGaaS▲75The API for building production-ready AI apps with your data
2025 · sitegpt.ai · its alternatives →
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Doc Scan▲63Help you scan and organize hundreds of documents efficiently
2019 · apps.apple.com · its alternatives →
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One-click RAG Endpoints for your Documents
2024 · endpoints.trelis.com · its alternatives →
- 23
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 →
- 24
Hi HN, creator of EmbedPDF here. I recently posted my open-source PDF viewer here, and one thing I really value is that it runs completely offline. I started wondering if we could push that further: could we do full ML layout analysis (detecting tables, headers, columns) directly in the browser? To my surprise, it actually works. The catch: It is far from production-ready. It crashes on most phones, and on older computers, it can be incredibly slow. The why: I believe the future of document processing is local. Many users work with sensitive documents (bank statements, legal contracts) and…
2025 · embedpdf.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 →