Prachi Jamdadecodessprachi.hashnode.dev·Dec 2, 2024Understanding Vector Embeddings and Vector StoreIn today’s digital age, data is being generated at a high-speed rate. As I write this, new data is being generated across the globe. Each activity, like scrolling reels, browsing products, giving reviews, and liking a post from your favorite influenc...47 readsAI
Startup Rabbitstartuprabbitblogs.hashnode.dev·Nov 13, 2024Mastering Semantic SEO: A Beginner’s Guide to Improving RankingsThe world of SEO is challenging and ever-evolving, with top rankings requiring rigorous, white-hat practices. Google’s algorithms focus on content relevancy and user experience. Prioritizing search intent helps boost engagement and improves overall s...semantic search
Sammith S Bharadwajsammith.hashnode.dev·Jul 4, 2024Understanding semantic searchIntroduction During my college days, one of the electives I had chosen was algorithms for information retrieval, it was a pretty fun course, learnt about how webpages are ranked while retrieving, cold start problem and how companies like netflix tack...38 readssemantic search
Leandro Martinsleandromartins.hashnode.dev·Jun 6, 2024An Agnostic Approach to LLM, Vector DB, and Embedding for Semantic SearchWith various solution possibilities in the market for LLM and Vector DB, thinking of an approach that can abstract these solutions becomes increasingly important for future maintenance or even solution changes. In this line of thought, the article ai...generative ai
Ambarish Gangulyambarish.hashnode.dev·May 13, 2024Understanding BBC News Q&A with Advanced RAG and Microsoft Phi3In this blog, we would be doing question and answering on a news data feed. The blog has 2 parts Conceptual Implementation details which comes as expected with code as well as the full code link Please feel free to choose both or at lea...2 likes·348 readsadvanced rag
Alberto Meneghinimenalb.hashnode.dev·Apr 26, 2024Semantic Search With Vector EmbeddingTraditionally, searching for a concept in a text involves identifying keywords and matching them with some user input.Semantic search provides a different approach. It tries to establish relationships between the meanings of words. With the rise in p...565 readsatlas vector search
Vivek Atwalengblog.vivekatwal.com·Apr 1, 2024Vector search in elasticsearchhttps://twitter.com/lintool/status/1681333664431460353?s=20 Take on how lucene can win the vector database race. There are few reason why this might happen Pure vector search doesn't work well. Need hybride solutions like 1. HNSW+Inverted index or...VectorSearch
Himadri Chakrabarti (he/him)iamhimadri.hashnode.dev·Feb 18, 2024Beyond Keyword SearchOne of my favorite books is The Heart by Maylis de Kerangal. It's a book about a devastating loss at the same time about hope. What genre does this book belong to? I am not sure. I loved reading this book and I would like to read books like this more...46 readssearch
mo azharumoazharu.hashnode.dev·Jan 30, 2024Implementing RAG with Mamba and the Qdrant Database: A Detailed Exploration (with Code)Hi everyone, and welcome! Today, we’re diving into the fascinating world of AI, particularly focusing on implementing Retrieval-Augmented Generation (RAG) with Mamba and utilizing the Qdrant database. Mamba, a recent development in AI, challenges the...RAG
mo azharumoazharu.hashnode.dev·Jan 18, 2024Enhancing Text-to-Image AI: Prompt Recommendation System for Stable Diffusion Using Qdrant Vector Search and RAGStable Diffusion has emerged as a groundbreaking text-to-image model, transforming the way digital art and image synthesis are approached. By converting textual descriptions into detailed and nuanced images, Stable Diffusion opens a world of possibil...stable diffusion
