Create a Hybrid Search Service with Fastembed Time: 20 min Level: Beginner Output: GitHub This tutorial shows you how to build and deploy your own hybrid search service to look through...

Using FastEmbed with Qdrant for Vector Search Install Qdrant Client and FastEmbed pip install "qdrant-client[fastembed]>=1.14.2" Initialize the client Qdrant Client has a simple in-memory mode...

Build a Hybrid Search Service with FastEmbed and Qdrant Time: 20 min Level: Beginner Output: GitHub This tutorial shows you how to build and deploy your own hybrid search service to look...

How to use rerankers with FastEmbed Rerankers A reranker is a model that improves the ordering of search results. A subset of documents is initially retrieved using a fast, simple method (e.g.,...