Articles by Tag #vectordatabase

Browse our collection of articles on various topics related to IT technologies. Dive in and explore something new!

🚀 pgai Vectorizer: SQLAlchemy and LiteLLM Make Vector Search Simple

We built pgai Vectorizer to simplify embedding management for AI applications—without needing a...

Learn More 49 1Feb 18

Detecting and Analyzing Comment Quality Using Vector Search

There is a good chance you encounter vector search regularly, even if you are not building...

Learn More 22 0Dec 12 '24

Generative AI: A Personal Deep Dive – My Notes and Insights

Hey Everyone! As the world increasingly moves toward AI-driven solutions, I, as a full-stack...

Learn More 137 9Dec 15 '24

Building a Vector Database from Scratch - CapybaraDB

Introduction Vector databases are one of the most popular and widely used systems in the...

Learn More 11 2Nov 11

How to Create Vector Embeddings in Node.js

When you’re building a retrieval-augmented generation (RAG) app, job number one is preparing your...

Learn More 10 0Apr 3

Enhancing Hybrid Search in MongoDB: Combining RRF, Thresholds, and Weights

In my previous blogs, I explored implementing basic hybrid search in MongoDB, combining vector and...

Learn More 5 1Dec 20 '24

Parsing the ⭐'s with txtai

txtai is an all-in-one embeddings database for semantic search, LLM orchestration and language...

Learn More 5 0Feb 11

Getting started with LLM APIs

Thank you to Igor Ribeiro Lima for writing this article! This article demonstrates how to call...

Learn More 10 0Jan 2

RAG Chatbot: Build with LangChain, Milvus, Fireworks AI 🔥Llama 3.1 8B Instruct, and Cohere embed-multilingual-v2.0

Introduction to RAG Retrieval-Augmented Generation (RAG) is a game-changer for GenAI...

Learn More 4 0Mar 3

Why Your RAG System Hallucinations Start at Ingestion, Not the LLM

Most teams are busy optimizing prompts, but the silent bottleneck is poor ingestion LLMs are only...

Learn More 3 0Oct 26

Teaching Security Scanners to Remember - Using Vector Embeddings to Stop Chasing Ghost Ports

I've scanned the same 118 blockchain validator nodes probably 200 times over the past year. And for...

Learn More 1 0Oct 14

Memory in AI Companions: Implementing Vector-Based Long-Term User State

When we build conversational agents that users interact with repeatedly, one of the biggest...

Learn More 0 0Nov 11

Building an AI-Powered Semantic Talent Matching System

Using MongoDB Atlas Vector Search + OpenAI Embeddings By Emmanuel Ifeanyi Mechie ...

Learn More 0 0Nov 28

How Google Mistook My Sui Node for a Bitcoin Farm (And Banned Me) (again)

Google thought I was mining Bitcoin - mining it like it's 2018 baby. But no, wasn't doing that...

Learn More 0 0Oct 30

Couchbase Weekly Updates - October 17, 2025

It’s been one of those weeks where vectors, llamas, and mobile SDKs all walk into a database. From...

Learn More 1 0Oct 17

Embeddings y RAG en aplicaciones web

Quiero esta vez escribir un poco sobre el proceso de construcción de una pequeña idea que use para...

Learn More 0 0Nov 8

Build a RAG Chat App with Firebase Genkit and Astra DB

Today we announced the release of a plugin for Firebase's Genkit framework for building generative AI...

Learn More 6 0Apr 16

Hybrid vector + text Search in the terminal with SurrealDB and Ratatui

SurrealDB: shiny newcomer, low-level database, or both? SurrealDB is admittedly a pretty...

Learn More 12 0Aug 21

MongoDB Vector Search With EF Core

This post was written by Arthur Vickers, Staff Engineer at MongoDB The 8.3.3 and 9.0.3 releases of...

Learn More 4 2Oct 27

5 GenAI Things You Didn't Know About Astra DB

Astra DB is a high-performance NoSQL database powered by Apache Cassandra® with built-in vector...

Learn More 2 0Mar 6

Caching in Vector Database: What You Need to Know

If you have ever built or used a Retrieval-Augmented Generative (RAG) pipeline, there is a chance...

Learn More 0 0Oct 6

Embedded Intelligence: How SQLite-vec Delivers Fast, Local Vector Search for AI.

An experience with SQLite as a vector database Introduction - Embedded Intelligence:...

Learn More 0 0Oct 1

The Database Zoo: Vector Databases and High-Dimensional Search

This post is part of The Database Zoo: Exotic Data Storage Engines , a series exploring purpose-built...

Learn More 0 0Nov 25

Accessing Low Level Vector APIs

txtai is an all-in-one AI framework for semantic search, LLM orchestration and language model...

Learn More 1 0Oct 22

Keyword vs. semantic search with AI

When building search for an application, you typically face two broad approaches: Traditional...

Learn More 0 0Oct 29

The low-cost path to AI Mastery: building a Wiki Navigator with pure Similarity Search

The world of Artificial Intelligence (AI) and Large Language Models (LLMs) often conjures images of...

Learn More 0 1Oct 1

How to Build Semantic Search in ASP.NET Core using PostgreSQL

I usually build simple applications that expose public APIs backed by PostgreSQL databases. But...

Learn More 0 0Oct 6

OpenSearchCon Europe 2025 - Amsterdam!

The community is coming to Amsterdam - April 30th - May 1st. OpenSearchCon is the annual conference...

Learn More 3 0Jan 14

How to Create Vector Embeddings in Python

When you’re building a retrieval-augmented generation (RAG) app, the first thing you need to do is...

Learn More 6 0Apr 9

An Introduction to LangChain

If you are reading this blog, I am sure you have used ChatGPT and many other applications powered by...

Learn More 0 0Nov 15