Biblos – Semantic Bible Embedded Vector Search and Claude LLM
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.…
Biblos – Semantic Bible Embedded Vector Search and Claude LLM launched on October 27, 2023 with 136 votes, #382 of 4,393 launches that month and more than 95% of that year's launches. The site was still online in September 2026, 2 years on.
In plain words
Biblos is a semantic search tool for finding and summarizing Bible passages. Users enter topics or keywords to locate related verses across the Bible using vector search technology, then receive AI-generated summaries that provide context. The tool uses a web interface built with Python and Streamlit, combining vector embeddings with Claude's language model to connect thematically related scripture passages.
written from the facts on this page · September 2026
From the sources
Semantic Bible Search and Multi-Layered Analysis. Contribute to dssjon/biblos development by creating an account on GitHub.
In the maker’s words, at launch
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…
Does a similar job
all alternatives →- BSBible Semantic Search2022 · hoffa-bible-search-app-1uj1m3.streamlitapp.com · ▲51
Bible as RAG DatabaseJun 2026 · crosscanon.com · ▲166Made 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…
- IMI made a website to semantically search ArXiv papers2024 · papermatch.mitanshu.tech · ▲324
As a grad student (and an ADHDer), I had trouble doing literature review systematically. To combat this, I made a website that finds similar papers using the meaning of the thing I am looking for. I used MixedBread's [^1] embedding model to generate vectors from the abstracts. I store and search similar vectors using Milvus [^2] and finally use Gradio [^3] to serve the frontend. I update the vector database weekly by pulling the metadata dataset from Kaggle [^4]. To speed up the search process on my free oracle instance, I binarise the embeddings and use Hamming distance as a metric. I would…
Semantic grep with local embeddings2025 · github.com · ▲179Local first semantic and hybrid BM25 grep / search tool for use by AI and humans! - GitHub - BeaconBay/ck: Local first semantic and hybrid BM25 grep / search tool for use by AI and humans!
- SBSemantic Bible Search using OpenAI's latest embedding model2023 · siliconscripture.org · ▲8
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!
Rebuilt Bible search app to run 100% client-side with Transformers.js2025 · biblos.app · ▲8I 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…
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