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# vectordatabase

Vector databases are purpose-built databases that are specialized to tackle the problems that arise when managing vector embeddings in production scenarios.

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Introducing Vector Buckets

Introducing Vector Buckets

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6 min read
Enterprise RAG Architecture: A Complete Technical Guide by AgenixHub

Enterprise RAG Architecture: A Complete Technical Guide by AgenixHub

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2 min read
Oracle 23ai's Phantom Vector Memory: A Troubleshooting Guide

Oracle 23ai's Phantom Vector Memory: A Troubleshooting Guide

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11 min read
IVFFlat Indexing in pgvector

IVFFlat Indexing in pgvector

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3 min read
Dense vs Sparse Retrieval: Mastering FAISS, BM25, and Hybrid Search

Dense vs Sparse Retrieval: Mastering FAISS, BM25, and Hybrid Search

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15 min read
Demystifying Retrieval-Augmented Generation (RAG)

Demystifying Retrieval-Augmented Generation (RAG)

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4 min read
Building Production RAG Systems in Days, Not Weeks: Introducing ShinRAG

Building Production RAG Systems in Days, Not Weeks: Introducing ShinRAG

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4 min read
It’s All About Memory: The Missing Piece in AI Agents

It’s All About Memory: The Missing Piece in AI Agents

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3 min read
Building an AI-Powered Semantic Talent Matching System

Building an AI-Powered Semantic Talent Matching System

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5 min read
RAG is more than Vector Search

RAG is more than Vector Search

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4 min read
Vector Databases 101: FAISS vs Pinecone

Vector Databases 101: FAISS vs Pinecone

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4 min read
The Database Zoo: Vector Databases and High-Dimensional Search

The Database Zoo: Vector Databases and High-Dimensional Search

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16 min read
Launching your RAG system on AWS: CloudFront, Lambda, Bedrock & S3 Vectors

Launching your RAG system on AWS: CloudFront, Lambda, Bedrock & S3 Vectors

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10 min read
Our RAG system failed to understand KPIs — Part 1: Metric retrieval design

Our RAG system failed to understand KPIs — Part 1: Metric retrieval design

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5 min read
Signal-driven health monitoring for HNSW indices w/ pgvector

Signal-driven health monitoring for HNSW indices w/ pgvector

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3 min read
How S3 Vectors Work: A Friendly Guide to AWS’s New Vector Store

How S3 Vectors Work: A Friendly Guide to AWS’s New Vector Store

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

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

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3 min read
Building an Archaeology Matcher: A (Literal) Deep Dive Into Multimodal Vector Search

Building an Archaeology Matcher: A (Literal) Deep Dive Into Multimodal Vector Search

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8 min read
LLM Reasoning: Why Models Hallucinate and how to reduce it?

LLM Reasoning: Why Models Hallucinate and how to reduce it?

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3 min read
Embeddings y RAG en aplicaciones web

Embeddings y RAG en aplicaciones web

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8 min read
You may not need pg_vector, sqlite-vss, etc.

You may not need pg_vector, sqlite-vss, etc.

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2 min read
Why Multi-Validator Hosts Break Traditional Security Scanning

Why Multi-Validator Hosts Break Traditional Security Scanning

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4 min read
Using Opensearch as a Complete Vector Database

Using Opensearch as a Complete Vector Database

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

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

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3 min read
Keyword vs. semantic search with AI

Keyword vs. semantic search with AI

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4 min read
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