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- Published on
An end-to-end, page-level Vision RAG template with ColPali-style embeddings, Qdrant multivector retrieval (with optional binary quantization), and MinIO-backed storage — dockerized and API-first.- Published on
An audio RAG system that processes video URLs and answers questions about their content using ColQwen2.5-Omni and OpenAI audio- Published on
Introducing the first project in my little-scripts monorepo - A simple, yet beautiful RAG implementation using Colnomic, Qdrant and Nomic- Published on
Diving deeper into the GraphRAG rabbit hole, I explore how to transform real-world video data into knowledge graphs using RF-DETR for object detection and BLIP-2 for intelligent entity description - setting the foundation for context-aware retrieval systems.- Published on
After my initial experiment with GraphRAG using Qdrant, Neo4j, and Ollama, I took on a journey to build a more dynamic and context-aware system. This post dives into the details of how I constructed a dynamic ontology for NLP GraphRag.- Published on
I've been playing with a new approach to RAG systems - combining vector search with knowledge graphs for more contextual, relationship-aware answers. Here's what I've built, how it works, and why you might want to try it yourself.- Published on
A simple experiment to calculate the cost of storing a 1 hour, 60fps 4k Video in a RAG model. For no practical reason, whatsoever.