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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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Understanding Search Scores in MongoDB Hybrid Search

Understanding Search Scores in MongoDB Hybrid Search

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3 min read
💡 What's new in txtai 8.0

💡 What's new in txtai 8.0

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11 min read
MongoDB Atlas Search Scoring: Using Constant and Function Modifiers

MongoDB Atlas Search Scoring: Using Constant and Function Modifiers

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2 min read
Vector Search and Semantic Search in Depth

Vector Search and Semantic Search in Depth

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2 min read
Milvus Adventures November 15, 2024

Milvus Adventures November 15, 2024

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3 min read
AIM Weekly 28 Oct 2024

AIM Weekly 28 Oct 2024

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5 min read
Quick tip: Using SingleStore with OpenAI's Swarm

Quick tip: Using SingleStore with OpenAI's Swarm

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9 min read
Ghosts as Unstructured Data: A Study Guide

Ghosts as Unstructured Data: A Study Guide

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4 min read
AIM Weekly for 04Nov2024

AIM Weekly for 04Nov2024

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5 min read
Why is it impossible to revert vector to text?

Why is it impossible to revert vector to text?

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1 min read
AIM Weekly for 14 Oct 2024

AIM Weekly for 14 Oct 2024

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6 min read
Visually Multilingual: Introducing mcdse-2b

Visually Multilingual: Introducing mcdse-2b

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10 min read
Migrating Vector Database to the Cloud

Migrating Vector Database to the Cloud

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1 min read
🚀 pgai Vectorizer: Automate AI Embeddings With One SQL Command in PostgreSQL

🚀 pgai Vectorizer: Automate AI Embeddings With One SQL Command in PostgreSQL

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3 min read
AIM Weekly for 07 Oct 2024

AIM Weekly for 07 Oct 2024

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4 min read
AIM Weekly from 30 September 2024

AIM Weekly from 30 September 2024

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4 min read
RAG Explained: Indexing and Vector Database

RAG Explained: Indexing and Vector Database

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2 min read
Beyond Keywords: Crafting Semantic Search with FastAPI and AI

Beyond Keywords: Crafting Semantic Search with FastAPI and AI

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14 min read
AIM Weekly for 23 September 2024

AIM Weekly for 23 September 2024

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5 min read
RAG Explained: Generation of Embeddings

RAG Explained: Generation of Embeddings

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2 min read
Milvus Adventures October 25, 2024

Milvus Adventures October 25, 2024

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3 min read
LLM Models and RAG Applications Step-by-Step - Part III - Searching and Injecting Context

LLM Models and RAG Applications Step-by-Step - Part III - Searching and Injecting Context

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11 min read
Implementing Complex Semantic Search with MongoDB

Implementing Complex Semantic Search with MongoDB

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4 min read
Word-embedding-with-Python: doc2vec

Word-embedding-with-Python: doc2vec

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2 min read
Generative Audio

Generative Audio

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

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

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5 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

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

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

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1 min read
Azure Index AI & MS Fabric

Azure Index AI & MS Fabric

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15 min read
AIM Weekly for 16 Sept 2024

AIM Weekly for 16 Sept 2024

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2 min read
ColBERT Live! Makes Your Vector Database Smarter

ColBERT Live! Makes Your Vector Database Smarter

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8 min read
Speech to Speech RAG

Speech to Speech RAG

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4 min read
Text to IRIS SQL with LangChain

Text to IRIS SQL with LangChain

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18 min read
New Article: Unleash the Power of Embedding Models! 🚀

New Article: Unleash the Power of Embedding Models! 🚀

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1 min read
RAG Explained: Introduction, improving LLMs

RAG Explained: Introduction, improving LLMs

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2 min read
Debunking 6 common pgvector myths

Debunking 6 common pgvector myths

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

Open source semantic embedding, search & clustering in NodeJS

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3 min read
AIM Weekly 19 August 2024

AIM Weekly 19 August 2024

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8 min read
Semantic Search and Algorithms

Semantic Search and Algorithms

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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

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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

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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)?

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4 min read
Building a restaurant recommendation system using vector search

Building a restaurant recommendation system using vector search

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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

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5 min read
AI-Powered Bot using Vectorized knowledge Architecture

AI-Powered Bot using Vectorized knowledge Architecture

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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

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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

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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

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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

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4 min read
PGVector's Missing Features

PGVector's Missing Features

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4 min read
Quick tip: Build Vector Embeddings for Video via Python Notebook & OpenAI CLIP

Quick tip: Build Vector Embeddings for Video via Python Notebook & OpenAI CLIP

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7 min read
AIM Weekly 02 September 2024

AIM Weekly 02 September 2024

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2 min read
Help: creating Anthropic based OpenAI Assistants-like API

Help: creating Anthropic based OpenAI Assistants-like API

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1 min read
Vector Streaming with EmbedAnything

Vector Streaming with EmbedAnything

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4 min read
How to choose a vector database: Pinecone, Weaviate, MongoDB Atlas, SemaDB

How to choose a vector database: Pinecone, Weaviate, MongoDB Atlas, SemaDB

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2 min read
How to build a movie recommendation app without the complexities of vector databases

How to build a movie recommendation app without the complexities of vector databases

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7 min read
Mocking an LLM Embedder Targeting MongoDB Atlas

Mocking an LLM Embedder Targeting MongoDB Atlas

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8 min read
Retrieval Augmented Generation with Citations

Retrieval Augmented Generation with Citations

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5 min read
🌐 MongoDB在金融行业: 向量搜索和ACID事务 💰

🌐 MongoDB在金融行业: 向量搜索和ACID事务 💰

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1 min read
d[IA]gnosis: developing RAG applications with IRIS for Healt

d[IA]gnosis: developing RAG applications with IRIS for Healt

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5 min read
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