Alternatives
Products that do what Biblos – Semantic Bible Embedded Vector Search and Claude LLM does
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.…
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Made this in a free evening. Index an permissive license translation of the Bible (WEB) into a RAG database to allow returning passages of similar semantic meaning. Lots of fun. For example, "more money more problems" returns Ecclesiastes 5:9-13 which, I'll just say, is spot on.. "Moreover the profit of the earth is for all. The king profits from the field. He who loves silver shall not be satisfied with silver, nor he who loves abundance, with increase. This also is vanity. When goods increase, those who eat them are increased; and what advantage is there to its owner, except to feast on…
Jun 2026 · crosscanon.com
- 2SB
Hey HN! My brothers and I have worked on this for the last 2 weeks. We use OpenAI's `text-embedding-ada-002` model to embed queries and a vector database to search for similar verses / blocks of verses. We'd like to see what you think and appreciate any feedback!
2023 · siliconscripture.org
- 3RB
I rebuilt Biblos, my semantic Bible search app, to run entirely in your browser. No more server costs. The main challenge was fitting an accurate text embedding model into browsers. Last year's version cost $20 monthly to host. The new version runs free on Vercel and searches 31k Bible verses without sending data to any server. I pre-compute embeddings for all 31,000 Bible verses offline using BGE-large-en-v1.5. Each verse becomes a 1024-dimensional vector stored as JSON, compressed into ZIP files by book. When you visit the site, your browser downloads Transformers.js and the BGE model. The…
Oct 2025 · biblos.app
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Describe what you feel. Find the verse that speaks to it.
May 2026 · scripture-flow.com
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2015 · temple.io
- 11WC
2019 · jordan.shurmer.family
- 12VA
Dear HN Community, I am a long time fan and first-time contributor. I just launched a developer focused semantic search platform and wanted to share it with the community. The idea is simple: upload structured or unstructured documents, select the fields you want to index and tag as metadata, and instantly get a clean search API you can use in your own app. Here is what it currently supports: - Manage your own tenants and projects - Upload .json and .txt files (support for .pdf, .docx, .xlsx, .yml, etc. coming soon) - Expose 3 APIs: search, upload document (embeddings), and delete document -…
2025 · aisearch.vpuna.com
- 13VH
There are two parts for this project: 1) The LLM-powered pipeline to extract citations (books + authors) from books and resolve them using both Wikipedia and Goodreads with offline copies I have. The result is data associating Books/Authors to other Books/Authors with accurate bibliographical information spanning centuries. 2) A WebGPU + D3.js powered visualization tool written by Claude Code so I'm able to deal with all this data on the browser on a more or less comfortable experience for the viewer. I spent some months on a off with this project, and definitely the most…
Feb 2026 · thiagolira.github.io
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Apr 2026 · github.com
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Interlinear, Strong's, Thayer's Lexicon simplified by AI
Jun 2026 · deepwordbible.com
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Jul 2026 · biblefollow.com
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Hey folks, Elias here. Excited to unveil my latest project. Why I Built This: Traditional keyword search isn't cutting it. I've used LLM-embeddings to provide more nuanced, relevant results. How It Works: LLM-embedding similarity on curated datasets for semantically similar results. No need to iterate over keywords any more. Current Datasets: - YC Companies - Show HN Posts, - Ask HN Posts - ProductHunt Startups - Github Top 200k Repos Use Cases: - Validate a product idea's existence - Check if someone already Asked HN something - Have fun - search random terms and see what pops up Want to…
2023 · payperrun.com
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https://appstore.com/biblebooklet Find the perfect Bible insight from over 200 Topics. Search by keyword like 'Anxiety' or 'Depression' to get relevant verses. Share verses easily on Instagram, WhatsApp, Facebook, Twitter or text.
2019
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I built a RAG application that retrieves relevant Bhagavad Gita verses for ethical dilemmas and generates structured guidance. The problem: The Gita has 701 verses. Finding applicable wisdom for a specific situation requires either deep familiarity or hours of reading. How it works: 1. User describes their ethical dilemma 2. Query is embedded using sentence-transformers 3. ChromaDB retrieves top-k semantically similar verses 4. LLM generates structured output: 3 options with tradeoffs, implementation steps, verse citations Tech stack: - Backend: FastAPI, PostgreSQL, Redis - Vector DB:…
Dec 2025 · geetanjaliapp.com
- 20IB
I use AI while reading the Bible and I suspect others do too. It's helpful whether you're struggling with the Elizabethan English, or want added context/want to know what theologians say about a passage. So I thought, why not make the AI come to you? TIA for any feedback!
2025 · scripturia.com
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Hi HN, I'm Daniel from Superlinked! We have built an open-source framework that improves vector search relevance and usefulness by combining structured metadata with unstructured data in your embeddings. We included self-hostable API server that sits between your data sources and vector database. Docs: https://docs.superlinked.com/ We're launching our cloud offering soon where you can use Superlinked to orchestrate high-performance retrieval for RAG, Search & Recommendation apps in your own cloud. Looking for feedback and happy to answer questions!
2024 · github.com
- 22IB
After getting frustrated with macOS's Spotlight search, e.g., typing "driver license" doesn't give me anything unless the file name matches exactly, I thought, why not index my entire Documents folder? This way, I can find that one PDF or image buried deep in subfolders using natural language queries. So I built SmartSearch; it uses SentenceTransformers for embeddings and FAISS for fast similarity search. Best of all, it runs locally on your computer. Github: https://github.com/neberej/smart-search/ Demo:…
2025 · github.com
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AI-powered Bible study. Any verse, deeply understood.
Jul 2026 · scriptureinsight.site
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Wanted to share a project I've been working on the last year! It's a simple, thoughtfully designed Bible app designed to help you focus on the text above all else. I felt really dissatisfied with the low quality of Bible apps available. The popular Bible app by YouVersion is so full of popups, feeds, notifications, and social media integrations that the Bible itself seemed like a side feature to me. I set out to make something simple, beautiful, focused, and delightful to use. I also wanted to add a couple features that I saw missing from other Bible apps. The 2 most notable are a reading…
2025 · tovbible.com
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