Chroma DB vector database, with embedding and reranker models to implement a Retrieval Augmented Generation (RAG) system.

Using tools like selenium and other scrapping libraries, as well as a Vector Data Base PGVector and docker, I will create an ETL that can be used once a week to populate this vector database with the releases of the week

Text Embeddings Inference (TEI)'s unofficial python wrapper library for batch processing with asyncio

Docker Compose stack for scalable TEI embeddings (multi-GPU) fronted by a FastAPI proxy with a Qdrant cache. 🐳⛓️💾