Alternatives
Products that do what I built a RAG engine to search Singaporean laws does
I built a "Triple Failover" RAG for Singapore Laws, then rewrote the logic based on your feedback. Hi everyone! I’m a student developer. Recently, I created Explore Singapore, a RAG-based search engine that scrapes about 20,000 pages of Singaporean government acts and laws. I recently posted the MVP and received some tough but essential feedback about hallucinations and query depth. I took that feedback, focused on improvements, and just released Version 2. Here is how I upgraded the system from a basic RAG to a production-grade one. The Design & UI I aimed to avoid a dull government…
- 1TB
Hello everyone, I have always loved coding and in the couple I was thinking of making an open source project and it turned out to be awesome I hope you guys like it. I present Explore Singapore which I created as an open-source intelligence engine to execute retrieval-augmented generation (RAG) on Singapore's public policy documents and legal statutes and historical archives. The objective required building a domain-specific search engine which enables LLM systems to decrease errors by using government documents as their exclusive information source. What my Project does :- basically it…
Feb 2026 · github.com
- 2TA
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
- 3DA
I've built an advanced RAG (Retrieval-Augmented Generation) pipeline from scratch to demystify the complex mechanics of modern LLM-powered Question Answering systems. This repository features: -- An implementation of a sub-question query engine from scratch to answer complex user questions. -- Illustrative explanations that unveil the inner workings of the system. -- An analysis of the challenges I faced while working with the system, like prompt engineering and cost estimation. -- Qualitative comparison with similar frameworks like LlamaIndex, offering a broader perspective. Key Takeaway:…
2023 · github.com
- 4DR
I'd like to invite everyone to try out DontBeEvil.rip, an experimental search engine for developers. tl;dr $ alias rip="curl -G -H 'Accept: text/plain' --url https://dontbeevil.rip/search --data-urlencode " $ rip 'q=Heartbleed bug' DontBeEvil.rip is a year long experiment to see if a small team can build a developer-focused search engine that is self-sustaining on $10 monthly subscriptions. It works by only indexing high-quality resources that are relevant to developers. You won't get useless listicles because we'll never crawl them. Relevant urls are harvested from HN,…
2022
- 5IB
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
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- 7MW
This was more of a sandbox to play with Raphael and Flot than anything else but I think there are some interesting statistics in there. It'd be awesome to do this over time but I really don't have the spare time required.
2011 · burntbrunch.github.com
- 8IB
Hi HN, For the last 18 months, I've been working solo on building a completely independent search engine from scratch. Today, I'm opening it up for beta testing and would love to get your feedback. The project powers two public sites from the same 2-billion-page index: Searcha.Page: A session-aware search engine that uses a persistent browser key (not a cookie) for better context. Seek.Ninja: A 100% stateless, privacy-first version with no identifiers at all. The entire stack is self-hosted on a single ~$4k bare-metal EPYC server in my laundry room (no cloud, no VC funding). The search…
2025
- 9MS
Hello HN! I've been working on http://underthesite.com for the last month and now think it is ready for some full strength HN feedback. What do you guys think? It crawls up to 10 pages of a given site while you wait, looking for community-provided CSS / XPath selectors and regular expressions. Additionally, I'd like to appeal to you to submit matchers for technologies that you care about. Technologies are easy to add, so add your favorite jQuery plugins, analytics tools, client-side node.js wrappers, what have you. I'm going to be running a large crawl in the next few days and want to make…
2011
- 10AE
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
- 11HB
Hi HN, I’m pleased to release my “surf engine” to the public for you to try. This is might be for you if you’ve grown frustrated with commercialised SERPs, and want to find the other websites are (still) out there. Kudos to Marginalia Search for showing that it’s possible to build a search engine as a hobbyist: https://search.marginalia.nu/ Feedback of all kinds very welcome! Ali
2022 · highbrow.se
- 12CW
2023 · gtan-chat.arguflow.ai
- 13PW
Over the weekend we built Parliament Wow. It's hacky, buggy and slightly broken but it does the job :) Parliament Wow makes it easy to find out what is going on in parliament and what it actually means for you and me. We know that nobody has the time to watch hours of debates, drown in legal paperwork or keep up with the implications of every vote. Not me or you and least of all your MPs. There is just too much data. So we made a solution. We paired some semantic search with every publicly accessible document, audio recording or transcript we could get our hands on + some generative models…
2024 · parliament-wow.threepointone.workers.dev
- 14RG
Hey HN, I wanted to share something I’ve been working on: *RAG-Guard*, a document AI that’s all about privacy. It’s an experiment in combining Retrieval-Augmented Generation (RAG) with AI-powered question answering, but with a twist — your data stays yours. Here’s the idea: you can upload contracts, research papers, personal notes, or any other documents, and RAG-Guard processes everything locally in your browser. Nothing leaves your device unless you explicitly approve it. ### How It Works - * Zero-Trust by Design*: Every step happens in your browser until you say otherwise. - * Local…
2025 · github.com
- 15HK
Built this as a toy project to understand knowledge graphs by tackling a real problem: traditional RAG fails badly on legal documents because it misses interconnections between sections. The system actually combines both approaches on every query - gets semantic matches via TF-IDF, retrieves structural relationships from Neo4j, then feeds both contexts to OpenAI for comprehensive answers. Used the Indian Income Tax Act as test data since legal documents have natural graph structures. Queries like "What sections reference Section 80C?" get both the reference network AND content explanations.…
2025 · github.com
- 168B
Hey all, Justin here. I previously built Phind, the AI search engine for developers. One of the biggest problems we had there was figuring out what went wrong with bad searches. We had tons of searches per day, but less than 1% of users gave any explicit feedback. So we were either manually digging through searches or making general system improvements and hoping they helped. This problem gets harder with agents. Traces are longer and more complex. It takes more effort to review them, so I'm building a tool that lets you analyze LLM outputs directly to help developers of LLM apps and agents…
Jan 2026 · trails-red.vercel.app
- 17TO
Learn how to write Rules Engines with CLIPS in your browser! I found the Tour of Go super useful when learning Go, so I went for something similar for evangelizing the awesomeness of CLIPS. A few things I'm proud of with this project: - No front-end frameworks - Compiled WASM binary; your code isn't sent to a back-end server - Code editor/syntax highlighter written from scratch (that I'm sure you'll find bugs in ;)) This is my first attempt at this, and I'd like to expand on it in the future. Let me know what you think! About CLIPS: CLIPS is a programming language useful for building…
2022 · ryjo.codes
- 18II
Hi HN! I’m working on Agora, an AI search engine for e-commerce products. Excited to launch the Agora API that helps other developers embed shopping experiences into their app. We provide endpoints to search, purchase, and track products sold on 25,000 different Shopify and WooCommerce stores. Early customers are building social shopping apps, marketplaces, and AI shopping assistants. I’d love your feedback!
2025 · developer.searchagora.com
- 19IB
So I've been obsessed with a weird question for the past 6 months, what happens to SEO when everyone starts asking ChatGPT for recommendations instead of Googling? The answer, apparently, is chaos. And maybe opportunity? I built FirstClick because I noticed something strange. My previous startup was getting zero traffic from AI assistants, but our competitor (objectively worse product, sorry not sorry) was getting mentioned by Claude and Perplexity constantly. It drove me crazy. So I reverse engineered why. Turns out there's a whole new game being played and most founders don't even know it…
Dec 2025 · firstclick.so
- 20RN
We built PageIndex, a document indexing system that turns documents into hierarchical search trees to support reasoning-based RAG. Traditional vector-based RAG often struggles with retrieval accuracy because it optimizes for similarity, not relevance. But what we really need in retrieval is relevance — which requires reasoning. When working with professional documents that demand domain expertise and multi-step reasoning, vector-based RAG and similarity search often fall short. So we started exploring a more reasoning-driven approach to RAG. Reasoning-based RAG enables LLMs to think and…
2025 · github.com
- 21SA
Hi HN, A few weeks ago, we stealth launched SEC Insights on Product Hunt and were thrilled to reach the top 5! What is SEC Insights? It harnesses the Retrieval Augmented Generation (RAG) capabilities of LlamaIndex to provide answers about SEC 10-K & 10-Q documents. The enthusiastic reception we received on Product Hunt prompted us to open-source our project. Now, developers can use our project either as a reference or they can fork it entirely for their LLM-powered applications. We at LlamaIndex built this to help developers move their LLM app ideas from prototype to production. We're very…
2023 · github.com
- 22IB
I built Meepo – a smarter search engine for a local (South African) fashion and homeware store. I have no affiliation with said store. I built this for myself, because I was frustrated at how difficult it was to find what I wanted with the existing search engine + I was curious how well CLIP (a relatively new AI technique with open source code and models) would work here. I think it works quite well! It's much more forgiving than the original search engine. I don't have to guess what exactly they decided to label a particular item. But what I like even more is that it works quite well for…
2022 · meepo.shop
- 23IM
When your embedding provider is good, but could be better for your use-case.
2024 · zoplabs.com
- 24WB
Hi HN, Our research team just released the best performing and most efficient reranker out there, and it's available now as an open weight model on HuggingFace. Reranker v2 was designed specifically for agentic RAG, supports instruction following (our v1 was the first to introduce this), and is multilingual. Along with this, we're also open source our eval set, which allows you to reproduce our benchmark results. By releasing these datasets, we are also advancing instruction-following reranking evaluation, where high-quality benchmarks are currently limited. Please give it a try and let us…
2025 · huggingface.co
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