xieyddforpgvecto.rsblog.pgvecto.rs·Jul 24, 2024Introducing Terraform Support for PGVecto.rs CloudWe are thrilled to announce the release of our Terraform provider for PGVecto.rs Cloud. This new provider is designed to simplify the process of managing resources on our cloud service, providing users with an intuitive and streamlined experience for...DiscussPostgreSQL
Rahul Rathodcodeok.hashnode.dev·Jul 14, 2024The Unstoppable Resilience of SQL in the Age of AI and Vector DatabasesIn the rapidly evolving landscape of data technology, new paradigms often emerge, promising to revolutionize the way we manage and analyze data. Yet, amid this relentless innovation, SQL (Structured Query Language) remains a steadfast cornerstone. Th...DiscussAI
Nayan Radadiyanayanvr.hashnode.dev·Jul 11, 2024Make similarity search using vector databaseIn this article I will walk you through how you can make simple similarity search with vector database and S-BERT model Prerequisites There are not so much prerequisites because it's a beginner level tutorial of how to work with vector databases so a...Discuss·23 likes·50 readsvector database
Nayan Radadiyanayanvr.hashnode.dev·Jul 6, 2024What the heck is Vector Database?This article won't make you a wizard in vector databases but it will give you an overview of vector databases and how it works. So let's begin. What do you mean by vector database? If you are familiar with traditional databases then you might know th...Yashasvi Virani and 2 others are discussing this3 people are discussing thisDiscuss·23 likes·80 readsvector database
Iqbal MaulanaforMan Behind The Systemmbts.dev·Jul 6, 2024AI, Embeddings, and VectorDB: A Simple GuideBefore you think this is another article about recent AI or AI-powered technology with a chat interface, copying ChatGPT for a niche task that people will use a couple of times and then forget, don't worry—this article is not. This article aims to br...Discuss·116 readsArtificial Intelligence
Debanjan Chakrabortysubspace.hashnode.dev·Jul 5, 2024Content Engine for PDF Document Comparison using Retrieval Augmented Generation Techniques with Large Language Models locally with StreamlitIntroduction In today's data-driven world, accessing relevant information quickly and accurately from vast collections of documents is crucial. Whether for research, enterprise documentation, legal searches, or knowledge management, the ability to ef...Discuss·10 likesdocument comparison
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·1 like·70 readssparsevectors
Dhiren Mathurformomentum.shblog.momentum.sh·Jul 1, 2024Leveraging Codebase Knowledge Graphs for Agentic Code GenerationAn agent generating code with language models can face several challenges without sufficient context about the codebase: Duplicating functionality due to lack of awareness of existing functions and classes Violating design patterns and architecture...Discuss·2 likes·140 readslangchain
Timothy Spanntimwithpulsar.hashnode.dev·Jul 1, 2024AIM Weekly for 01-July-202401-July-2024 Tim Spann @PaaSDev Milvus - Towhee - Attu - Feder - GPTCache - VectorDB Bench AIM Weekly (Towhee - Attu - Milvus (Tim-Tam)) https://github.com/milvus-io/milvus?utm_source=partner&utm_medium=referral&utm_campaign=2024_newsletter_tspann-ai...DiscussMilvus
Ram Goelramgoel.hashnode.dev·Jun 30, 2024Vector Databases and Vector Embeddings in Generative AIWhat Are Vector Embeddings? Vector embeddings are numerical representations of data. In Generative AI, they convert text, images, or other data into a list of numbers (vectors). These vectors help us understand and compare different pieces of data. E...Discussgenerative ai
