Muneer Ahmedthisismuneer.hashnode.dev·Oct 1, 2024You are the average of the five others around you.At its core, modern Natural Language Processing is built on a fascinating idea: "A word is characterized by the company it keeps." When I first learned about vector embeddings, this concept instantly reminded me of the saying "You are the average of ...1 like·41 readsvector embeddings
Muhammad Fahad Bashirmfahadbashir.hashnode.dev·Sep 26, 20246. Understanding Retrievers in detail -LangChain Retriever MethodsThis is the 6th article in my Retrieval-Augmented Generation (RAG) series. In previous articles, we explored what RAG is and how to create a vector store. Now, we’ll cover the next critical step—retrieving data from vector stores. This is a core comp...1 like·44 readsImplementing RAG systems from Scratch in-depthRAG
Ajay Veerabommaajayveerabomma.hashnode.dev·Sep 11, 2024Introduction to Vector Databases: How They Work and Why They MatterWhat is Vector Database A vector database is a collection of data stored as mathematical representations. Vector databases make it easier for machine learning models to remember previous inputs, allowing machine learning to be used to power search, r...1 like·52 readsData Science
Flora Oladipupowritewithshasha.hashnode.dev·Aug 30, 2024Customer Segmentation in Retail Using Vector Search (Qdrant)INTRODUCTION Overview of Customer Segmentation in Retail Customer segmentation in retail is a strategic approach businesses use to divide their customer base into distinct groups based on specific characteristics, behaviors, and needs. Customer segme...qdrant
Sachin Nandanwarwww.azureguru.net·Aug 14, 2024Mathematical concept of Euclidean distance similarity metric for vector databasesIn Math and Physics vectors play a key role in almost every aspect of the subjects. By definition a vector is an entity that has both magnitude and direction over a given space. The following schematic shows a representation of a vector in one dimens...52 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...23 likes·88 readsvector database
Junyu ChenforVectorChordblog.vectorchord.ai·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...2 likes·253 readssparsevectors
Oduor Jacob Mugandavectord.hashnode.dev·May 31, 2024Building SmartDoc with RAG and QdrantSmartDoc is an advanced document search engine leveraging Retrieval-Augmented Generation (RAG) and the Qdrant vector database. This guide covers setting up the environment, backend development, frontend development, and testing. Combining RAG and Vec...fast api
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
John Vesterjohnjvester.hashnode.dev·Mar 21, 2024Using pgvector To Locate Similarities In Enterprise DataSoftware engineers occupy an exciting place in this world. Regardless of the tech stack or industry, we are tasked with solving problems that directly contribute to the goals and objectives of our employers. As a bonus, we get to use technology to mi...vector
