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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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Amazon S3 Vectors: When Your Data Lake Becomes Your Vector Store

Amazon S3 Vectors: When Your Data Lake Becomes Your Vector Store

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6 min read
Oracle 23ai's Phantom Vector Memory: A Troubleshooting Guide
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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
Introducing Supabase ETL
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Introducing Supabase ETL

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4 min read
Your AI Forgets Everything. Here’s the Fix Silicon Valley Doesn’t Want You to Know.
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Your AI Forgets Everything. Here’s the Fix Silicon Valley Doesn’t Want You to Know.

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2 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
Vector Dimensions, Cosine Similarity, Dot Product — and Why Your Distance Metric Silently Ruins Relevance

Vector Dimensions, Cosine Similarity, Dot Product — and Why Your Distance Metric Silently Ruins Relevance

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2 min read
Building Production-Ready RAG in FastAPI with Vector Databases

Building Production-Ready RAG in FastAPI with Vector Databases

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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
Introducing Vector Buckets
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Introducing Vector Buckets

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

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5 min read
Azure AI Search at Scale: Building RAG Applications with Enhanced Vector Capacity
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Azure AI Search at Scale: Building RAG Applications with Enhanced Vector Capacity

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6 min read
Vector Databases 101: FAISS vs Pinecone

Vector Databases 101: FAISS vs Pinecone

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4 min read
S3 Vectors: 90% Cheaper Than Pinecone? Our Migration Guide
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S3 Vectors: 90% Cheaper Than Pinecone? Our Migration Guide

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

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16 min read
Choosing Rowstore or Columnstore? How to Pick the Right Engine for Your Workload

Choosing Rowstore or Columnstore? How to Pick the Right Engine for Your Workload

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10 min read
Launching your RAG system on AWS: CloudFront, Lambda, Bedrock & S3 Vectors
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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
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Signal-driven health monitoring for HNSW indices w/ pgvector

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3 min read
Optimizing Milvus Standalone for Production: Achieving 70% Memory Reduction While Maintaining Performance
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Optimizing Milvus Standalone for Production: Achieving 70% Memory Reduction While Maintaining Performance

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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
Embeddings y RAG en aplicaciones web
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Embeddings y RAG en aplicaciones web

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8 min read
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