Retrieval Augmented Generation based on SQLite. Contribute to ggozad/haiku.rag development by creating an account on GitHub.

A brief introduction to using llamafile (a single-file tool for working with large language models) and sqlite-vec (A SQLite extension for vector search) to build a Retrival Augmentation Generation (RAG) application. This was a live online event hosted on Dec 17th 2024 in the Mozilla AI Discord, join us for the next event at at https://discord.gg/Ve7WeCJFXk LINKS: - Doc w/ links to all mentioned projects/blog posts: https://docs.google.com/document/d/17GYLzlGUyJF9EDeaa1P-dFFZnkwxATnBcg5KnNgpvPE/edit?usp=sharing - Slides: https://docs.google.com/presentation/d/14Szda-VnZzepL-1U9Nb7sXQg_TTf56OQ-KtUIMQ5xug/edit?usp=sharing

A vector search SQLite extension that runs anywhere! - asg017/sqlite-vec

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Vector databases are kind of everywhere these days. There is a big pool of VC's that are pouring money into the ecosystem too. But while all of that is happening, sqlite has also gotten support for it. In this episode we talk the Alex Garcia, the maintainer of this project, and discuss how the project got created on what the future has in store. 00:00 Introduction 00:40 Dataviz 04:39 Chromebook matters 10:30 Why sqlite rocks 17:32 Facebook and VR stuff 26:19 Datasette & Simon 38:31 Towards sqlite-vec 46:46 Getting attention 52:38 Current work Sqlite-vec Github repo: https://github.com/asg017/sqlite-vec Alex Garcia blog: https://alexgarcia.xyz/blog/2024/sqlite-vec-hybrid-search/index.html Datasette discord: https://discord.com/invite/ktd74dm5mw Sqlite-vec channel on Mozilla Discord: https://discord.gg/Ve7WeCJFXk We have a Discord these days, feel free to discuss the podcast with us there! https://discord.probabl.ai You can follow the podcast on most podcast players including apple podcasts, spotify and rss.com. - https://podcasts.apple.com/us/podcast/sample-space/id1739598572 - https://open.spotify.com/show/0BnwEHuyOlHgeZfselpn1n - https://rss.com/podcasts/sample-space/ This podcast is part of the open efforts over at probabl. To learn more you can check out website or reach out to us on social media. Website: https://probabl.ai/ Bluesky: https://bsky.app/profile/probabl.bsky.social LinkedIn: https://www.linkedin.com/company/probabl Twitter: https://x.com/probabl_ai #probabl

Vector search has become a foundational tool for modern applications — from powering recommendation engines to enabling semantic search in…

Build a retrieval system with semantic, full-text, and fuzzy search in Postgres to be used as a backbone in RAG pipelines.

Retrieval Augmented Generation (RAG) is a technique for adding extra “knowledge” to systems built on LLMs, allowing them to answer questions against custom information not included in their training data. …

💡 All-in-one open-source embeddings database for semantic search, LLM orchestration and language model workflows - neuml/txtai