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AI and vector fundamentals

A Brief History of AI: How Did We Get Here, and What's Next?A Beginner’s Guide to Vector Embeddings PostgreSQL as a Vector Database: A Pgvector Tutorial Using Pgvector With Python How to Choose a Vector Database Vector Databases Are the Wrong Abstraction

Cosine similarity

A Guide to Cosine Similarity Implementing Cosine Similarity in Python

Vector databases

Vector Database Options for AWS Vector Store vs. Vector Database: Understanding the Connection

Tutorials

How to Build LLM Applications With Pgvector Vector Store in LangChain How to Implement RAG With Amazon Bedrock and LangChain Retrieval-Augmented Generation With Claude Sonnet 3.5 and Pgvector RAG Is More Than Just Vector Search

Hybrid search & filtering

PostgreSQL Hybrid Search Using Pgvector and Cohere Implementing Filtered Semantic Search Using Pgvector and JavaScript Refining Vector Search Queries With Time Filters in Pgvector: A Tutorial

Image search

Building an AI Image Gallery With OpenAI CLIP, Claude Sonnet 3.5, and Pgvector

Semantic search

Fundamentals

Understanding Semantic Search What Is Vector Search? Vector Search vs Semantic Search When Should You Use Full-Text Search vs. Vector Search?

Vectorscale

Fundamentals

Understanding DiskANN

Schema design

Streaming DiskANN: How We Made PostgreSQL as Fast as Pinecone for Vector Data

Vector Database Basics: HNSW

Benchmarks

Pgvector vs. Pinecone: Vector Database Performance and Cost Comparison

Fundamentals

HNSW vs. DiskANN

Nearest Neighbor Indexes: What Are IVFFlat Indexes in Pgvector and How Do They Work

AI query interfaces

Text-to-SQL: A Developer’s Zero-to-Hero Guide

Postgres and vector data | Learn PostgreSQL | Tiger Data