Articles by Tag #vectorsearch
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Understanding Vector Databases: Compare Vector Databases, Vector Search Libraries, and Vector Search Plugins
Hey there - welcome back to Vector Database 101! The surge in ChatGPT and other large language...
Find your celebrity soulmate with the magic of vector search
Author: Caroline Morton Have you ever wondered how to find someone or something that’s most like...
Pre and Post Filtering in Vector Search with Metadata and RAG Pipelines
In the modern world of AI, managing vast amounts of data while keeping it relevant and accessible is...
Weekly Updates - July 26, 2024
Hello 👋, The Olympics are finally here! Are you going to watch? Here are our updates for this...
Personal Knowledge Graphs in AI RAG on user phone
Graphs and vector search are potent tandems for AI-powered applications, which are booming nowadays....
Weekly Updates - Nov 1, 2024
Happy Friday everyone! For this week's updates: 📖 New Blog: Scaling AI for the Enterprise -GenAi...
Personal Knowledge Graphs in AI RAG-powered Applications with libSQL
I spend a long time working on privacy first personal ai assistant Our application is localfirst and...
PDF RAG Demo: Building Simplified AI Workflows with Couchbase Shell
Previously, we showed how to use Couchbase RAG capabilities through a Python app that allows the user...
Weekly Updates - July 19, 2024
Hi Everyone, I've wanted to share some newcomer/getting started resources this week: 📚 New Blog:...
Mastering Vector Search: How Alibaba Cloud’s Inference API Enhances Elasticsearch
Vector search has revolutionized how modern applications handle data retrieval. By leveraging...
Weekly Updates - May 10, 2024
Hi everyone! Today's updates will be short and sweet - I hope everyone had a great week and is...
How to use sqlite-vec to store and query vector embeddings
Vector search is a game-changer for LLM-based applications, but what if you could do it without...
TiDB Future App Hackathon 2024
Introduction We’re excited to announce another edition of TiDB Future App Hackathon! ...
How sqlite-vec Works for Storing and Querying Vector Embeddings
Learn how `sqlite-vec` turns SQLite into a fast, embedded vector search engine. With support for float32, int8, and bit vectors, optimized distance metrics, and native SQL integration, it's ideal for offline AI, semantic search, and lightweight ML apps. This post walks through how it works and why it's surprisingly powerful.
Integrate Groq’s Fast LLM Inferencing With Couchbase Vector Search
With so many LLMs coming out, a lot of companies are focusing on enhancing the inference speeds for...
What is Vector Search? A Concise Guide
Vector search is changing how we find information. Unlike old search methods that look for exact...