I built a "boring" RAG demo over World Cup data — SQLite, sqlite-vec, and no framework
A developer has created a lightweight Retrieval-Augmented Generation (RAG) demo using only SQLite with a vector extension and an LLM, eschewing larger frameworks and dedicated vector databases. This approach allows for efficient querying of data, such as World Cup statistics, by embedding text chunks and performing vector similarity searches directly within the SQLite database. The system is designed for privacy, with the potential to run entirely locally using an Ollama model, making it suitable for sensitive personal or business data. AI
IMPACT Simplifies RAG implementation, enabling local-only data processing and enhancing privacy for sensitive information.