vector search

5 stories

Stories

Topic: vector search

Build an Art Recommender from scratch with CLIP and ChromaDB
In the last part of this tutorial, we collected high-quality art data. It is now time to design a database with useful functionalities so that we can store, organise, and interact with our data programmatically.
Towards AIOct 8, 202625 min read
Google EmbeddingGemma 2: How One Model Embeds Text, Images, and Audio
Google's EmbeddingGemma 2 maps text, images, video, and audio into one 768-dim vector space under Apache 2.0. Here's how it actually works.
MindStudio BlogOct 7, 20267 min read
Is RAG Dead? Why Long Context Windows Don't Replace RAG
Is RAG Dead? The Role of Vector Search in AI Efficiency When Anthropic came out with a context window of 100K tokens, they said: “Vector search is dead. LLMs are getting more accurate and won’t need RAG anymore.” Google’s Gemini 1.5 now offers a context window of 10 million tokens.
QdrantAug 4, 20265 min read
FastEmbed: Qdrant's Efficient Python Library for Embedding Generation
Data Science and Machine Learning practitioners often find themselves navigating through a labyrinth of models, libraries, and frameworks. Which model to choose, what embedding size, and how to approach tokenizing, are just some questions you are faced with when starting your work.
QdrantJul 30, 202610 min read
Question Answering with LangChain and Qdrant
Follow along in Colab: Building applications with Large Language Models doesn’t have to be complicated. A lot has been going on recently to simplify the development, so you can utilize already pre-trained models and support even complex pipelines with a few lines of code.
QdrantJul 30, 20267 min read