Content-Length: 236108 | pFad | http://github.com/topics/text-embeddings-inference
B4Chroma 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
go client for text-embedding-inference (https://github.com/huggingface/text-embeddings-inference)
Docker Compose stack for scalable TEI embeddings (multi-GPU) fronted by a FastAPI proxy with a Qdrant cache. 🐳⛓️💾
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