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AI · alternatives · 2026

24 alternatives to RAG Retrieval-Augmented Generation Codes

I published my first RAG boilerplate — frontend + backend

Below are 24 products that do a similar job, ranked by how close each is in meaning and then by launch-day votes.

  1. 1

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

    2024 · dabarqus.com · its alternatives →

  2. 2

    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 →

  3. 3QP

    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. 4

    Opensource Low code RAG Builder

    2024 · raggenie.com · its alternatives →

  5. 5

    RAG pipeline with PDF OCR, vector search and chat UI

    2025 · github.com · its alternatives →

  6. 6

    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 →

  7. 7
    RAGstack▲111

    Deploy a private ChatGPT alternative hosted within your VPC

    2023 · github.com · its alternatives →

  8. 8
    RAGBOT▲12

    Real-time Chat Interface with React and RAG from scratch

    2025 · github.com · its alternatives →

  9. 9

    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 →

  10. 10

    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 →

  11. 11IB

    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 →

  12. 12

    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 →

  13. 13

    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 →

  14. 14RI

    Got tired of wiring up vector stores, embedding models, and chunking logic every time I needed RAG. So I built piragi. from piragi import Ragi kb = Ragi(\["./docs", "./code/\*\*/\*.py", "https://api.example.com/docs"\]) answer = kb.ask("How do I deploy this?") That's the entire setup. No API keys required - runs on Ollama + sentence-transformers locally. What it does: - All formats - PDF, Word, Excel, Markdown, code, URLs, images, audio - Auto-updates - watches sources, refreshes in background, zero query latency - Citations - every answer includes sources…

    Dec 2025 · pypi.org · its alternatives →

  15. 15

    Dive deep into AI Retrieval Augmented Generation (RAG)

    2024 · ragaboutit.com · its alternatives →

  16. 16

    Hey HN, I built this because I was tired of setting up the same RAG pipeline for every side project. The Problem: Most RAG tutorials give you an answer but don't show where it came from. Hallucinations are a dealbreaker for real apps. * The Solution:* I built a pipeline using Pinecone metadata to map vector chunks back to the original PDF page/text. The UI highlights the source snippet when the AI answers. Stack: Next.js 14 (App Router) Pinecone (Serverless) LangChain (Streaming) Supabase (Auth) Demo: https://www.fastrag.live Happy to answer questions about the chunking…

    Dec 2025 · fastrag.live · its alternatives →

  17. 17
    Linq▲35

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

    2023 · getlinq.com · its alternatives →

  18. 18

    A lightweight boilerplate for a universal webapp based on koa, mongodb, node, vue, and webpack - yunhan0/koa-vue-fullstack

    2018 · github.com · its alternatives →

  19. 19

    Build rag apps in hours, not months

    2025 · insightbuildr.com · its alternatives →

  20. 20

    An AI assistant built with PHP, Solr and LLM backend of choice. Proof of concept mostly. - Krisseck/php-rag

    2023 · github.com · its alternatives →

  21. 21

    Hi all, Sharing a repo I was working on for a while. It’s open-source and includes many different strategies for RAG (currently 17), including tutorials, and visualizations. This is great learning and reference material. Open issues, suggest more strategies, and use as needed. Enjoy!

    2024 · github.com · its alternatives →

  22. 22

    Contribute to Sumanth077/chat_with_github development by creating an account on GitHub.

    2025 · github.com · its alternatives →

  23. 23

    One click to build backend & get all code snippets

    2025 · its alternatives →

  24. 24

    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 →

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