Muhammad Fahad Bashirmfahadbashir.hashnode.dev·Sep 12, 20245.Vector Stores: Efficient Storage and Retrieval for EmbeddingsIn this continuation of our series of Retrieval-Augmented Generation (RAG), we will learn about the final step of the ingestion pipeline—vector stores. Previously, we covered embeddings in detail, from understanding what they are to implementing them...AbuBakar Zafar and 1 other are discussing this2 people are discussing thisDiscuss·12 likes·47 readsImplementing RAG systems from Scratch in-depthTutorial
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...DiscussData Science
Juan Carlos Olamendyjuancolamendy.hashnode.dev·Sep 10, 2024Transforming Document Summarization: A Deep Dive into Sentence Embeddings, Clustering, and SummarizationEver felt lost in a sea of information, struggling to extract meaningful insights from lengthy documents? You're not alone. In today's fast-paced world, wading through pages of text to find critical data can be a daunting and time-consuming task. Thi...DiscussMachine Learning
Muhammad Fahad Bashirmfahadbashir.hashnode.dev·Sep 7, 20244. Embeddings Explained - Next in RAG SeriesIn our previous article, we explored and discussed the concept of splitting documents into chunks. Now, we'll talk next crucial step: embeddings. For this purpose, we use embedding models. They take input and convert it into a numerical representatio...Discuss·29 readsImplementing RAG systems from Scratch in-depthvector embeddings
Timothy Spanntimwithpulsar.hashnode.dev·Aug 31, 2024OLLAMA Rag Example Locally Freehttps://dzone.com/articles/multiple-vectors-and-advanced-search-data-model-design #LLAMA3Discussollama
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...Discussqdrant
Sachin Nandanwarwww.azureguru.net·Aug 25, 2024Mathematical intuition behind Dot product & Cosine similarity in vector databasesIn my previous article, we explored the definition of a vector and how to calculate the Euclidean distance between them. In this article, we will delve into the mathematical intuition behind the dot product and cosine similarity, which are commonly u...Discuss·43 readscosine
Wilame Limawilame.hashnode.dev·Aug 20, 2024Introduction to Standalone Questions in LLMsAmong the many strategies employed to boost the performance of large language models (LLMs), the concept of standalone questions stands out in AI and natural language processing. For this post, let's explore standalone questions, why they are useful,...DiscussNLPLogstandalone questions
Eswara Sainatheswara96.hashnode.dev·Aug 15, 2024Top 5 Vector Databases in 2024Introduction We are drowning in data! It's mind-boggling to think that over 80% of data is going to be unstructured by 2025- think emails, social media posts, images, and videos. The explosive growth of AI has turned this data deluge into both a gold...DiscussAI
Qin Liublog.lqhl.me·Aug 8, 2024Mem0: How Three Prompts Created a Viral AI Memory LayerIn the rapidly evolving world of artificial intelligence, Mem0 has emerged as a standout project, garnering over 19,000 stars on GitHub. This innovative system aims to enhance AI's ability to learn continuously and adapt to individual user needs thro...Discuss·1 like·194 readsAI
