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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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Quick tip: Write numpy arrays directly to the SingleStore VECTOR data type

Quick tip: Write numpy arrays directly to the SingleStore VECTOR data type

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3 min read
Vector Search is Eating the Web

Vector Search is Eating the Web

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4 min read
Vector Databases Are the Base of RAG Retrieval

Vector Databases Are the Base of RAG Retrieval

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6 min read
Exploring BGE-M3 and Splade: Two Machine Learning Models for Generating Sparse Embeddings

Exploring BGE-M3 and Splade: Two Machine Learning Models for Generating Sparse Embeddings

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8 min read
Practical Tips and Tricks for Developers Building RAG Applications

Practical Tips and Tricks for Developers Building RAG Applications

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11 min read
How to Build a Crystal Image Search App with Vector Search

How to Build a Crystal Image Search App with Vector Search

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14 min read
Integrate txtai with Postgres

Integrate txtai with Postgres

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9 min read
Why Vector Compression Matters

Why Vector Compression Matters

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8 min read
MyScaleDB, the Revolutionary SQL Vector Database, Goes Open-Source

MyScaleDB, the Revolutionary SQL Vector Database, Goes Open-Source

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2 min read
Melhorando as respostas de um LLM: RAG de vídeo do Fábio Akita

Melhorando as respostas de um LLM: RAG de vídeo do Fábio Akita

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9 min read
Advanced RAG with guided generation

Advanced RAG with guided generation

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4 min read
Retrieval-Augmented Generation: Using your Data with LLMs

Retrieval-Augmented Generation: Using your Data with LLMs

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8 min read
Enhancing RAG Performance: A Comprehensive Guide

Enhancing RAG Performance: A Comprehensive Guide

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7 min read
Emergence of Vector Databases

Emergence of Vector Databases

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4 min read
Quick tip: Using Apache Spark Structured Streaming with SingleStore Notebooks

Quick tip: Using Apache Spark Structured Streaming with SingleStore Notebooks

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5 min read
Quick tip: Cosine Similarity revisited in SingleStore

Quick tip: Cosine Similarity revisited in SingleStore

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3 min read
LangChain Memory: Enhancing AI Conversational Capabilities

LangChain Memory: Enhancing AI Conversational Capabilities

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5 min read
Falcon 180B: Advancing Language Models in the AI Frontier

Falcon 180B: Advancing Language Models in the AI Frontier

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5 min read
Vector Database solutions on AWS

Vector Database solutions on AWS

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2 min read
Vector Search at the Edge with Couchbase Mobile

Vector Search at the Edge with Couchbase Mobile

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8 min read
My binary vector search is better than your FP32 vectors

My binary vector search is better than your FP32 vectors

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5 min read
Couchbase Server 7.6 Top New Features For Developers

Couchbase Server 7.6 Top New Features For Developers

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3 min read
How ColBERT Helps Developers Overcome the Limits of Retrieval-Augmented Generation

How ColBERT Helps Developers Overcome the Limits of Retrieval-Augmented Generation

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6 min read
Using pgvector To Locate Similarities In Enterprise Data

Using pgvector To Locate Similarities In Enterprise Data

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11 min read
Unlock Advanced Search Capabilities with Milvus and Read about RAG

Unlock Advanced Search Capabilities with Milvus and Read about RAG

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5 min read
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