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...Discussatlas vector search
Vivek AtwalProengblog.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...DiscussVectorSearch
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...Discuss·43 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...DiscussRAG
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...Discussstable diffusion
S Huma Shahshumashah.hashnode.dev·Dec 29, 2023Using BioBERT and Qdrant to Power Semantic Search on Medical Q&A dataNavigating Complex Medical Datasets: Integrating BioBERT’s NLP with Qdrant’s Vector Database for Enhanced Semantic Accuracy Photo by National Cancer Institute on Unsplash In this tutorial, we’re diving into the fascinating world of powering semantic...DiscussArtificial Intelligence
Vivek Kalevivekk999.hashnode.dev·Dec 29, 2023Semantic Query Over PDF Documents Using Qdrant and LangChainIntroduction Large Language Models (LLMs) have emerged as a foundation stone in the field of deep learning, showcasing their ability to understand and generate text similar to human language patterns. A crucial element within LLMs is Vectorization, s...Discusssemantic search
Stephen Collinssteve555.hashnode.dev·Nov 6, 2023Enhancing MySQL Searches with Vector EmbeddingsImagine transforming MySQL into a search powerhouse capable of understanding the subtleties of human language. Vector embeddings are the secret ingredient, enabling just that. Yet, traditional MySQL setups falter with the complexities of high-dimensi...Discuss·29 readsMySQL
Aleksandr Novikovnovikov.blog·Oct 19, 2023Partition BordersA short record in order not to loose the idea. Multimodal graphs can grow extremely large. To keep their size in bounds they can be cut into smaller parts. One can introduce a special modality that maps vertices of one patition to those of another pa...Discusssemantic search
Aleksandr Novikovnovikov.blog·Oct 18, 2023Slow downUnfortunatelly, hope given in my previous article lasted only a short time. In reality the improvement was due to an error. Performance went down again after I had corrected the mistake. I ported the lowest level of the Binet library to C, because ev...DiscussBinet