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Show HN: Bible as RAG Database
A personal project demonstrating RAG capabilities on a large, semantically rich text, presented as a 'Show HN' and 'fun enough to share'.
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AI Executive Synthesis
A personal project demonstrating RAG capabilities on a large, semantically rich text, presented as a 'Show HN' and 'fun enough to share'.
This submission highlights the practical application of RAG for semantic search on extensive, unstructured text datasets. While presented as a personal project, it underscores a critical developer pain point: performance optimization for large vector indexes. A 4GB index requiring 15 seconds for vector search is unacceptable for production environments. The market trend favors efficient, scalable RAG solutions capable of real-time query responses on massive knowledge bases. The core idea demonstrates the value of semantic retrieval for nuanced information discovery, moving beyond keyword matching. Commercial implications exist for specialized knowledge management systems, legal tech, or research platforms requiring deep contextual understanding from vast document repositories. The challenge remains in building performant infrastructure around these capabilities.
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 them with his eyes? The sleep of a laboring man is sweet, whether he eats little or much; but the abundance of the rich will not allow him to sleep. There is a grievous evil which I have seen under the sun: wealth kept by its owner to his harm."Anyway - thought it was fun enough to share. It's slow and I vibe coded it so I haven't sorted out how to make it not take 15 seconds to vector search against the full 4GB index.
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Deep-Dive FAQs
What is Bible as RAG Database?
Bible as RAG Database is analyzed by our AI as: A personal project demonstrating RAG capabilities on a large, semantically rich text, presented as a 'Show HN' and 'fun enough to share'.. It focuses on This submission highlights the practical application of RAG for semantic search on extensive, unstructured text datasets. While presented as a pers...
Where did Bible as RAG Database originate?
Data for Bible as RAG Database was aggregated directly from the Hacker News community ecosystem, representing raw developer and early-adopter sentiment.
When was Bible as RAG Database publicly launched?
The initial public indexing or launch date for Bible as RAG Database within our tracked developer communities was recorded on June 26, 2026.
How popular is Bible as RAG Database?
Bible as RAG Database has achieved measurable traction, logging over 133 traction score and facilitating 85 recorded discussions or engagements.
Which technical categories define Bible as RAG Database?
Based on metadata extraction, Bible as RAG Database is categorized under topics such as: RAG database, semantic meaning, vector search, 4GB index.
What are some commercial alternatives to Bible as RAG Database?
Our semantic intelligence engine identifies potential commercial alternatives in the SaaS space, such as PI-Link Speed Radar, which offers overlapping value propositions.
How does the creator describe Bible as RAG Database?
The original author or development team describes the product as follows: "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 ..."
Community Voice & Feedback
Nice project. The 4GB index / ~15s search part made me think zvec might be a good fit here: https://github.com/alibaba/zvecIt’s an in-process vector DB, so the “local corpus, no separate server” shape is pretty much what it’s designed for. Its benchmark numbers are quite strong, and recent versions also support full-text + hybrid retrieval and DiskANN.This would be an interesting case to try with zvec: same corpus, same embedding model, then compare indexing time, index size, memory usage, and query latency on normal hardware.
There are lots of fair use translations available here at https://www.crosswire.org/sword/index.jsp
For completeness, this should include all possible books, including Ethiopian, and then it should include a drop-down with pre-defined sets one could choose from (Protestant, Catholic, Orthodox...).
That's cool! I did the same for the Quran to see how RAG works. I also indexed related works called "Hadith" and the names of Allah. It initially required indexing everything using OpenAI embeddings and then powered by it.https://reminder.dev/searchIt's also open sourcehttps://github.com/asim/reminder
This is really cool...great job! It's a favorite pastime of mine to index various large corpora.As for speed, this might help for code referencing: https://github.com/deepbluedynamics/lumeBlog post: https://deepbluedynamics.com/blog/lume-retrieval-primitivesI use a small local model to extract entities for the graph, but it's not necessary.You can optionally use GTR-T5 which is a few years old now, but still good for generating fast and free embeddings. That step is only run once if you run it in hybrid mode.Feel free to take and remix or use!
> The king profits from the fieldFor the solution, read Henry George!
I vibed up something similar, comparing the verses of the big 3 religions. Cloudflare vectorize for embeddings db. https://crazy.church
Did you include the Deuterocanonical books?
Slow, but interesting. I used the query "government" and got back passages in Romans 13 (as I expected), but also passages in Daniel and Ezra describing decrees by government officials, which made sense.
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