Alessandro Morandinewsletter.abeatbeyond.com·Nov 8, 2023#5 Working with Vector DatabasesMilvus is an open-source vector database that is highly reliable for similarity search. Let's look at how we can use it. Let's start with some base definitions Step 1: Create a collection In Milvus, a collection is similar to a table in a traditional...Discuss·29 readsVectorSearch
Aayush GuptaProaayushgupta.tech·Nov 5, 2023How Vector Embeddings and Vector Databases works?Vector Embeddings Vector embeddings are a way to convert words and sentences and other data into numbers that capture their meaning and relationships. The term "vector" just refers to an array of numbers with a specific dimensionality. In the case o...Discuss·49 readsvector database
Aayush GuptaProaayushgupta.tech·Nov 5, 2023Querying in Human Language over any set of Documents, leveraging LangChain, LLMs and Vector DatabasesSo I won't straight dive into the Tech and What I built, rather let me introduce you to the problem first and what this system aims to cater How I've Presented this is like : How would we as normal human beings ask something to someone? Now the compa...Discuss·90 readsAI
Juan Carlos Olamendyjuancolamendy.hashnode.dev·Oct 19, 2023Vector Databases: A Deep Dive into the World of High-Dimensional DataIntroduction In the realm of Artificial Intelligence (AI), the term "vector databases" has been gaining significant traction. But what exactly are they, and why should a data scientist or data engineer be interested? Vector databases, at their core,...DiscussMachine Learning
Vandit TyagiforFutureSmart AI Blogblog.futuresmart.ai·Oct 18, 2023Deploy Chroma DB on AWS EC2Introduction ChromaDB, a groundbreaking tool in the world of embeddings, is reshaping semantic search with its vector database. This innovation simplifies embedding storage, management, and retrieval, while its standout feature, semantic search, offe...Discuss·2 likes·760 readschromadb
Mahaboob Subhani Syedsubhani-syed.hashnode.dev·Oct 17, 2023From Static to Dynamic: Transforming PDFs into Interactive Conversations with LLMsIntroduction Wouldn't it be great if you'd give a PDF to your friend and ask something related from it and he looks up and gives an answer? Here your friend uses the PDF as a resource and gives his answer along with his knowledge on that topic. Now l...Discuss·2 likes·115 readsstreamlit
Stephen Collinssteve555.hashnode.dev·Oct 13, 2023How to use Weaviate to store and query vector embeddingsBy combining vector databases with pre-trained large language models, you can deliver unprecedented user experiences, merging the capabilities of LLMs with the context of your specific data. In this tutorial, I introduce Weaviate, an open-source vect...DiscussVectorSearch
Metismetis.hashnode.dev·Oct 10, 2023Exploring the Power of pgvector as an Open Source Vector DatabaseData analysis often comes down to comparing many objects with each other. It doesn’t pose many challenges when the objects are naturally ordered or can be measured with any metric. For instance, analyzing financial data is straightforward because all...DiscussDatabases
Stephen Collinssteve555.hashnode.dev·Oct 7, 2023SQLite vs. Chroma: A Comparative Analysis for Managing Vector EmbeddingsVector embeddings play a crucial role in enhancing the capabilities of Large Language Models (LLMs), enabling them to understand and generate text with nuanced intelligence from your data. However, managing these embeddings effectively requires a rob...Discusschromadb
Mundher Al-Shabi, PhDmundher.com·Oct 7, 2023Vector Search vs. Vector DatabaseVector search and vector database share many features and people use the terms interchangeably. But, they aren’t quite the same. Vector search is a process wherein a query vector is compared against a collection of vectors to find the most similar ...DiscussVectorSearch
