Alternatives
Products that do what Sankofa – Browser extension to semantically search your history does
Hey there HN! I lead Product at Vectara. Some of us read a lot of articles on the web (like those on HN) and we were desperately trying to recall the text we read -- using semantic search because we might not have remembered the exact text we read. (Or ask questions about the content -- ChatGPT style.) Sankofa is a new browser extension that can automatically index web pages you visit and let you search / ask questions about that content. We built it using Vectara's retrieval-augmented-generation (RAG) platform and hope this is useful to folks. This is an initial release: we would love…
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Hey Hackernews, I'm Ofer, head of developer relations at Vectara. Some of us read a lot of articles on the web, like those on HN, and it seems useful to be able to search the contents of the text we read (using semantic search), or ask questions about it (ChatGPT style). Sankofa is a new browser extension that allows you to index web pages you visit and search / ask questions about that content. We built it using Vectara's retrieval-augmented-generation (RAG) platform and hope this is useful to folks. This is an initial release - we would love to hear any feedback and suggestions. BTW,…
2024 · github.com
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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
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Hey there HN! We’re Antonio, Luca, and Yuhang, and we’re excited to introduce Fast GraphRAG, an open-source RAG approach that leverages knowledge graphs and the 25 years old PageRank for better information retrieval and reasoning. Building a good RAG pipeline these days takes a lot of manual optimizations. Most engineers intuitively start from naive RAG: throw everything in a vector database and hope that semantic search is powerful enough. This can work for use cases where accuracy isn’t too important and hallucinations are tolerable, but it doesn’t work for more difficult queries that…
2024 · github.com
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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
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Not all improvements come from adding complexity — sometimes it's about removing it. PageIndex takes a different approach to RAG. Instead of relying on vector databases or artificial chunking, it builds a hierarchical tree structure from documents and uses reasoning-based tree search to locate the most relevant sections. This mirrors how humans approach reading: navigating through sections and context rather than matching embeddings. As a result, the retrieval feels transparent, structured, and explainable. It moves RAG away from approximate "semantic vibes" and toward explicit reasoning…
2025 · github.com
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Introducing Biblos, a simple tool for semantic search and summarization of Bible passages. Leveraging Chroma for vector search with BAAI BGE embeddings, semantically find related verses across the Bible. The tool employs Anthropic's Claude LLM model for generating high-quality summaries of retrieved passages, contextualizing your search topic. Built on a Retrieval Augmented Generation (RAG) architecture, the app implements a simple Streamlit Web UI using Python. Deployed using render.com, the app is available at https://biblos.app Note: Search by just topic/keywords, e.g.…
2023 · github.com
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Hi HN! Vectara is a "batteries included" retrieval augmented generation platform. You can upload your rich text documents like PDFs, HTML pages, word docs, etc, or semi-structured JSON and Vectara handles the text and metadata extraction, segmentation, vector embedding, and vector storage, and keyword storage. You can ask a question or perform a search in the UI or via our APIs and Vectara will automatically handle the vectorization, structured metadata filtering, vector+keyword retrieval, hybrid blending, and generative summarization of the results. We're focusing on building and…
2023 · vectara.com
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Hello HN, I’m Kamil. The past months have been filled with news about ChatGPT, Bard, etc. Thankfully, there are some heroic attempts to bring that power to the users. I wanted to contribute to that effort with my side project, an extension for Chrome: it makes searching the history by meaning – instead of the exact words – possible. This is only a proof of concept, building on the excellent transformers.js[0], and running entirely in the browser. My goal here is to explore the possibilities unlocked by a client-side AI. I would love to have your feedback, to know which direction that project…
2023 · getpinbot.com
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Hey. I’ve been working on Rearview, a browser extension that makes browsing history more useful. It’s available for Chrome, Edge, and Firefox. What it does: - Full-text Search: Search page content, not just URLs or titles. - More Filter: Organize history by date, time, or visits. - AI Assistant: Get insights from your history. (Optional, with your own api key.) Everything stays local in IndexedDB. Feedback & Feature request welcome. BTW, since Firefox does not provide a favicon URLs implementation (https://bugzilla.mozilla.org/show_bug.cgi?id=1315616),I am currently requesting…
2025 · rearview-ai.vercel.app
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Hey everyone! I’m extremely excited to share a project I led for our company- Vectara. If you’re not familiar with us, we specialize in retrieval augmented generation, or RAG, allowing you to get the most accurate answers and summaries about your data. But more than that, we also do semantic search. And I’m proud to say I work with some really great engineers who ensure that we do that pretty darn well too! And that’s where this comes in. For my fellow React developers out there, this one’s for you! Our new ReactSearch component allows you to add a semantic search UI, powered by our…
2024 · github.com
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Hi there! When Supabase announced their recent hackathon, I thought it was a good time to build something to learn more about so many of the new AI models and tech out there. From the different techniques of embedding documents to the future RAG. With the rise of short form content with TikTok and Youtube. A lot more knowledge is in videos than ever before. Finding specific answers within millions of videos can be difficult for any one person to go through. So the question is if there is Google that indexes text on website making it easier to find based on the context of on your question,…
2023 · avse.vercel.app
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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
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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
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Hey everyone! Akash and Gabe here from Zenfetch (YC W23) - a chrome extension to help you remember more of what you read. Zenfetch makes it easy to index any content from across the web into a neural search engine and AI chat. Try the chrome extension at https://www.zenfetch.com/?utm_source=hacker_news. How it works: 1. Optionally sync your bookmarks and/or Pocket saves. Zenfetch will continue to sync newly saved items. 2. Click the Zenfetch icon in a tab to save any PDF, YouTube video, note, article, email, forum post, etc. Zenfetch can save almost anything across the…
2024 · zenfetch.com
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Hi everyone, my cofounder and I built Dera - a platform to help manage chunks and embeddings. We built this because of the pain points we experienced while building RAG applications for side projects. The biggest pain point we encountered was that we were constantly trying out different chunking strategies, but there’s no easy way to check how the strategies are performing in terms of retrieval when given the same query. We tried searching for a tool for this but couldn’t find any (most LLM dev tools focus on prompts management). We hope this tool will be useful for people building RAG apps.…
2024 · getdera.com
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