AI · alternatives · 2026
24 alternatives to Web RAG to generate perplexity like answers from your docs [in browser]
How It Works - Offline Indexing: Docs are processed and embedded using the GTE-small model at build time. Browser-Based Magic: - SQLite database (stored in the browser) for vector search. - Local embedding model for query processing. - Local LLaMA model for response generation using WebLLM. - Everything Happens Locally: No data leaves the user’s device. Key Benefits - No API Costs: Everything runs in the browser—zero backend expenses. - Unlimited Chats: No rate limits or usage restrictions. - Privacy-First: Your data stays on your device, always. You can find the code here:…
Below are 24 products that do a similar job, ranked by how close each is in meaning and then by launch-day votes. Web RAG to generate perplexity like answers from your docs [in browser] launched in 2024; newer entries below may have overtaken it.
- 1
I spent a few hours last weekend testing whether AI can replace code by executing directly. Built a contact manager where every HTTP request goes to an LLM with three tools: database (SQLite), webResponse (HTML/JSON/JS), and updateMemory (feedback). No routes, no controllers, no business logic. The AI designs schemas on first request, generates UIs from paths alone, and evolves based on natural language feedback. It works—forms submit, data persists, APIs return JSON—but it's catastrophically slow (30-60s per request), absurdly expensive ($0.05/request), and has zero UI…
Nov 2025 · github.com · its alternatives →
- 2IB
We show the potential of modern, embedded graph databases in the browser by demonstrating a fully in-browser chatbot that can perform Graph RAG using Kuzu (the graph database we're building) and WebLLM, a popular in-browser inference engine for LLMs. The post retrieves from the graph via a Text-to-Cypher pipeline that translates a user question into a Cypher query, and the LLM uses the retrieved results to synthesize a response. As LLMs get better, and WebGPU and Wasm64 become more widely adopted, we expect to be able to do more and more in the browser in combination with LLMs, so a lot of…
2025 · blog.kuzudb.com · its alternatives →
- 3WS
We’ve trained a generative AI model to browse the web and answer questions/retrieve code snippets directly. Unlike ChatGPT, it has access to primary sources and is able to cite them when you hover over an answer (click on the text to go to the source being cited). We also show regular Bing results side-by-side with our AI answer. The model is an 11-billion parameter T5-derivative that has been fine-tuned on feedback given on hundreds of thousands of searches done (anonymously) on our platform. Giving the model web access lessens its burden to need to store a snapshot of human knowledge…
2022 · beta.sayhello.so · its alternatives →
- 4
I spent the last few days building out a nicer ChatGPT-like interface to use Mistral 7B and Llama 3 fully within a browser (no deps and installs). I’ve used the WebLLM project by MLC AI for a while to interact with LLMs in the browser when handling sensitive data but I found their UI quite lacking for serious use so I built a much better interface around WebLLM. I’ve been using it as a therapist and coach. And it’s wonderful knowing that my personal information never leaves my local computer. Should work on Desktop with Chrome or Edge. Other browsers are adding WebGPU support as well - see…
2024 · github.com · its alternatives →
- 5
Hello HN! I've found my SQL knowledge to be lacking, so I made a project that uses SQLite as a backend. As it is intended for self-hosting I aim to make it easy to set up and maintain. Getting it up & running takes no more than a few commands (bar setting up a proxy such as nginx, which is out of scope). I've set up a "demo" site at https://forum.agreper.com/ if you want to try out the UI.
2022 · github.com · its alternatives →
- 6
Hey HN, I made Browser-Use, an open-source tool that lets (all Langchain supported) LLMs execute tasks directly in the browser just with function calling. It allows you to build agents that interact with web elements using natural language prompts. We created a layer that simplifies website interaction for LLMs by extracting xPaths and interactive elements like buttons and input fields (and other fancy things). This enables you to design custom web automation and scraping functions without manual inspection through DevTools. Hasn't this been done a lot of times? Good question, as a general…
2024 · github.com · its alternatives →
- 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
Paste in my prompt to Claude Code with an embedded API key for accessing my public readonly SQL+vector database, and you have a state-of-the-art research tool over Hacker News, arXiv, LessWrong, and dozens of other high-quality public commons sites. Claude whips up the monster SQL queries that safely run on my machine, to answer your most nuanced questions. There's also an Alerts functionality, where you can just ask Claude to submit a SQL query as an alert, and you'll be emailed when the ultra nuanced criteria is met (and the output changes). Like I want to know when somebody posts about…
Dec 2025 · exopriors.com · its alternatives →
- 9
We have been using graph DBs more and more at work. I found them painful to work with locally and decided to try and build something better.
Aug 2026 · github.com · its alternatives →
- 10
- 11
Check out this impressive project that enables running LLMs entirely in the browser using WebGPU. Key features: - Zero token costs, no cloud infrastructure required - Complete data privacy through local processing - Simple 3-line code integration - Built on MLC and Transformer.js The benchmarks show smaller models can effectively handle many common tasks. Currently the project roadmap includes: - No-code AI pipeline builder - Browser-based RAG for document chat - Analytics/logging - Model fine-tuning interface
2025 · github.com · its alternatives →
- 12WE
Browser LLM demo working on JavaScript and WebGPU. WebGPU is already supported in Chrome, Safari, Firefox, iOS (v26) and Android. Demo, similar to ChatGPT https://andreinwald.github.io/browser-llm/ Code https://github.com/andreinwald/browser-llm - No need to use your OPENAI_API_KEY - its local model that runs on your device - No network requests to any API - No need to install any program - No need to download files on your device (model is cached in browser) - Site will ask before downloading large files (llm model) to browser cache - Hosted on Github…
2025 · andreinwald.github.io · its alternatives →
- 13
Hi folks, My friend Sami and I recently built Vizly, a Mac application that allows anyone to query their databases using plain English. Vizly is built on Llama 2, llama.cpp, and runs fully on-prem (edit: meaning everything is local and your data never leaves your own computer). We are running two Llama models, one for natural language to SQL translation, and another that uses the results from the SQL to render visualizations. That means there are no external APIs and all the AI models are running locally on your MacBook. We tried to make Vizly very easy to share as well. Every Vizly instance…
2023 · vizly.fyi · its alternatives →
- 14
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 →
- 15
We've been building data pipelines that scrape websites and extract structured data for a while now. If you've done this, you know the drill: you write CSS selectors, the site changes its layout, everything breaks at 2am, and you spend your morning rewriting parsers. LLMs seemed like the obvious fix — just throw the HTML at GPT and ask for JSON. Except in practice, it's more painful than that: - Raw HTML is full of nav bars, footers, and tracking junk that eats your token budget. A typical product page is 80% noise. - LLMs return malformed JSON more often than you'd expect, especially with…
Mar 2026 · github.com · its alternatives →
- 16
Author here. I just wanted a quick and easy way to easily submit strings to a REST API and get back the embedding vectors in JSON using Llama2 and other similar LLMs, so I put this together over the past couple days. It's very quick and easy to set up and totally self-contained and self-hosted. You can easily add new models to it by simply adding the HuggingFace URL to the GGML format model weights. Two models are included by default, and these are automatically downloaded the first time it's run. It lets you not only submit text strings and get back the embeddings, but also to compare two…
2023 · github.com · its alternatives →
- 17
Yet another "talk to your data and build a dashboard" app, where data does not leave your browser. You ask a question, agents produce multiple SQL queries to in-browser sqlite, never seeing results, and write dashboard configuration code. The data you analyze will be indexed with a local semantic index (embeddings generation + sqlite vector search fully local). Next, sandboxed QuickJS runs this code to produce rich dashboards directly in your browser, no backend attached. This is a fully frontend app (except OpenRouter or other remote LLM). All data sent to LLM's is heavily sanitized and…
Jun 2026 · eatmydata.ai · its alternatives →
- 18
Linq▲35Build search engine for texts, images and beyond In 1 hour
2023 · getlinq.com · its alternatives →
- 19
Hello HN! My name is Paras and I am building this project called Slashbase. It's an open-source collaborative IDE for databases in browser. Connect to your database, browse data, run a bunch of queries or share queries within your team, right from your browser. Works with two types of databases: PostgreSQL and MongoDB. It's written in Golang and Nextjs React Framework and runs as a single binary. Features: - Cloud based: Setup on your server. Works in browser. - Easy to use: with minimal interface it is simple to use. - Collaborative: Works with your teams. Easy sharing queries within team.…
2022 · github.com · its alternatives →
- 20
I built a web-based HTML/CSS/JS editor focused on speed, simplicity, and offline access. No bloat — just open and start coding. What makes it different: Live Preview – Edit HTML, CSS, and JS side-by-side with instant feedback. Offline support – Works without internet. You can even install it as a PWA and use it like a native app. No Login Required – Just visit, code, and preview. Login only if you want to save/share. Savable & Shareable Links – Save scripts in the cloud and get shareable links. Customizable Editor – Themes, fonts, auto-format on save, layout tweaks, line…
2025 · scriptpad.dev · its alternatives →
- 21PV
Search a 100,000-article ParqDB index directly in the browser with MiniLM, HTTP Range, Parquet, and WebAssembly.
Aug 2026 · search.parqdb.io · its alternatives →
- 22
Upload CSV, and start querying, all locally without any data leaving your browser. Can handle large CSV's easily. Download query results once done. Uses sqlite-wasm binary.
2024 · csvsqltool.com · its alternatives →
- 23
I built this web-based developer utility few years ago when I couldn't find any opensource GUI-based query builder for mysql (similar to what MS Access had). This app can be run locally. The online demo uses static hardcoded values. Screencast's link is included in the README file.
2023 · codeberg.org · its alternatives →
- 24
I've built an airgapped Retrieval-Augmented Generation (RAG) system for question-answering on documents, running entirely offline with local inference. Using Llama 3, Mistral, and Gemini, this setup allows secure, private NLP on your own machine. Perfect for researchers, data scientists, and developers who need to process sensitive data without cloud dependencies. Built with Llama C++, LangChain, and Streamlit, it supports quantized models and provides a sleek UI for document processing. Check it out, contribute, or suggest new features!
2024 · github.com · its alternatives →
Also compare
- Why write code if the LLM can just do the thing? (web app experiment) alternatives
- In-Browser Graph RAG with Kuzu-WASM and WebLLM alternatives
- Web search using a ChatGPT-like model that can cite its sources alternatives
- I built a free in-browser Llama 3 chatbot powered by WebGPU alternatives
- Minimal, no-JS web forum software alternatives
- I wrote an open-source browser alternative for Computer Use for any LLM alternatives
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 →