DEV Community

# vectordatabase

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

Posts

👋 Sign in for the ability to sort posts by relevant, latest, or top.
Exploring Word Embeddings: python implementation of Word2Vec and GloVe in Vector Databases

Exploring Word Embeddings: python implementation of Word2Vec and GloVe in Vector Databases

Comments
5 min read
Generative Audio

Generative Audio

1
Comments
8 min read
OpenRAG: An Open-Source GenAI Application to Supercharge Data Queries with Large Language Models

OpenRAG: An Open-Source GenAI Application to Supercharge Data Queries with Large Language Models

Comments
3 min read
Move your data into (or out of) ANY Vector Database

Move your data into (or out of) ANY Vector Database

1
Comments
1 min read
Azure Index AI & MS Fabric

Azure Index AI & MS Fabric

Comments
15 min read
AIM Weekly for 16 Sept 2024

AIM Weekly for 16 Sept 2024

5
Comments
2 min read
ColBERT Live! Makes Your Vector Database Smarter

ColBERT Live! Makes Your Vector Database Smarter

1
Comments
8 min read
Speech to Speech RAG

Speech to Speech RAG

6
Comments 2
4 min read
Text to IRIS SQL with LangChain

Text to IRIS SQL with LangChain

Comments
18 min read
Exploring RAG: Why Retrieval-Augmented Generation is the Future?

Exploring RAG: Why Retrieval-Augmented Generation is the Future?

3
Comments
2 min read
Debunking 6 common pgvector myths

Debunking 6 common pgvector myths

5
Comments
9 min read
Open source semantic embedding, search & clustering in NodeJS

Open source semantic embedding, search & clustering in NodeJS

5
Comments 3
3 min read
AIM Weekly 19 August 2024

AIM Weekly 19 August 2024

5
Comments
8 min read
Semantic Search and Algorithms

Semantic Search and Algorithms

2
Comments
3 min read
From Notebook to Serverless: Creating a Multimodal Search Engine with Amazon Bedrock and PostgreSQL

From Notebook to Serverless: Creating a Multimodal Search Engine with Amazon Bedrock and PostgreSQL

5
Comments
3 min read
Desplegando una Aplicación de Embeddings Serverless con AWS CDK, Lambda y Amazon Aurora PostgreSQL

Desplegando una Aplicación de Embeddings Serverless con AWS CDK, Lambda y Amazon Aurora PostgreSQL

5
Comments
6 min read
Vector Databases vs Graph Databases: Which is Best for Retrieval-Augmented Generation (RAG)?

Vector Databases vs Graph Databases: Which is Best for Retrieval-Augmented Generation (RAG)?

6
Comments
4 min read
Building a restaurant recommendation system using vector search

Building a restaurant recommendation system using vector search

2
Comments
3 min read
100 Days of Generative AI - Building Your First RAG Application Using Open-Source tools: Day 8

100 Days of Generative AI - Building Your First RAG Application Using Open-Source tools: Day 8

Comments
5 min read
AI-Powered Bot using Vectorized knowledge Architecture

AI-Powered Bot using Vectorized knowledge Architecture

1
Comments
4 min read
Construyendo un Motor de Búsqueda Multimodal con Amazon Titan Embeddings, Aurora Serveless PostgreSQL y LangChain

Construyendo un Motor de Búsqueda Multimodal con Amazon Titan Embeddings, Aurora Serveless PostgreSQL y LangChain

2
Comments
4 min read
De Notebook a Serverless: Creando un Motor de Búsqueda Multimodal con Amazon Bedrock y PostgreSQL

De Notebook a Serverless: Creando un Motor de Búsqueda Multimodal con Amazon Bedrock y PostgreSQL

1
Comments
4 min read
Deploying Serverless Embedding App with AWS CDK, Lambda and Amazon Aurora PostgreSQL

Deploying Serverless Embedding App with AWS CDK, Lambda and Amazon Aurora PostgreSQL

2
Comments
6 min read
Building a Multimodal Search Engine with Amazon Titan Embeddings, Aurora Serveless PostgreSQL and LangChain

Building a Multimodal Search Engine with Amazon Titan Embeddings, Aurora Serveless PostgreSQL and LangChain

1
Comments
4 min read
PGVector's Missing Features

PGVector's Missing Features

37
Comments 2
4 min read
loading...