Building a Hybrid RAG in 200 Lines — SQLite + FTS5 + sqlite-vec + RRF

1. 1Install the required libraries, including sqlite3, sqlite-vec, and numpy
2. 2Create a SQLite database with FTS5 tables for keyword search
3. 3Configure sqlite-vec for dense vector search
4. 4Implement Reciprocal Rank Fusion in pure SQL using RRF
5. 5Test the hybrid RAG system with sample queries and data
6. 6Optimize the system for production use, considering factors like indexing and caching

This tutorial benefits data scientists, machine learning engineers, and software developers who want to implement efficient retrieval systems without incurring significant infrastructure costs. It's particularly useful for teams working on information retrieval, question answering, or search engine projects.

💡 A hybrid RAG system can be built using SQLite, FTS5, and sqlite-vec, allowing for efficient keyword and dense vector search without requiring significant infrastructure investments.

🚀 Build a hybrid RAG system in 200 lines of Python code! 🤯 Zero servers, zero monthly cost. #RAG #InformationRetrieval #SearchEngine