Junyu Chenforpgvecto.rsblog.pgvecto.rs·Jul 5, 2024Unleash the power of sparse vectorIn the past, hybrid search combined two search methods: traditional keyword-based search and vector-based similarity search. However, sparse vector can act as a substitute for keyword search, unlocking the full potential of the data pipeline with pur...Discuss·2 likes·70 readssparsevectors
Saurabh Naiksaurabhz.hashnode.dev·Apr 18, 2024Search Paradigms: Exploring Dense, Sparse, and Hybrid Search TechniquesIntroduction: In the realm of information retrieval, search methodologies vary widely, each offering unique advantages and limitations. This technical blog delves into three prominent search paradigms: Dense Search, Sparse Search, and Hybrid Search. ...DiscussGenerative AIgenerative ai
Oleg Kleimanolegkleiman.hashnode.dev·Feb 10, 2024Hybrid search with QDrant, OpenAI, and re-rank algorithmsAs an introduction to this article, please read my previous notes: IR brief theory Sparse vectors have a large number of dimensions, where only a small portion of values are non-zero. When used for keyword search, each sparse vector represents a do...Discuss·39 readsPython
Akriti Upadhyayakritiu.hashnode.dev·Dec 22, 2023How to Use Sparse Vectors for Medical Data with Qdrant 1.7.0Introduction In traditional vector databases, which were designed to query only dense vectors, handling sparse vectors posed significant challenges. The inherent sparsity of these vectors, where a majority of dimensions contain zero values, led to in...Discusssparsevectors
