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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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How to Build a Global Search Engine Using Vector Embeddings

How to Build a Global Search Engine Using Vector Embeddings

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4 min read
Automate Vector Database Update with AWS and CircleCI

Automate Vector Database Update with AWS and CircleCI

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21 min read
Databend Monthly Report(June 2025)

Databend Monthly Report(June 2025)

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5 min read
Context-Aware Search for Your Service: No GPUs, No Hassle

Context-Aware Search for Your Service: No GPUs, No Hassle

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2 min read
Vector Database

Vector Database

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2 min read
Vector Embeddings and Vocal Search. Analysis and innovation notes

Vector Embeddings and Vocal Search. Analysis and innovation notes

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5 min read
Couchbase Weekly Updates - June 27, 2025

Couchbase Weekly Updates - June 27, 2025

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2 min read
Semantic search in Rust using SurrealDB and Mistral AI

Semantic search in Rust using SurrealDB and Mistral AI

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12 min read
Local Elasticsearch Playground: A Practical Introduction and hands-on test (and moving to a RAG solution)

Local Elasticsearch Playground: A Practical Introduction and hands-on test (and moving to a RAG solution)

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12 min read
OpenHPI Embeddig NLP Systems Free course!

OpenHPI Embeddig NLP Systems Free course!

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1 min read
How to setup RAG with VectorDB

How to setup RAG with VectorDB

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4 min read
Medical RAG Research with txtai

Medical RAG Research with txtai

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7 min read
JECQ: Smart, Open-Source Compression for FAISS Users—6x Compression Ratio, 85% Accuracy

JECQ: Smart, Open-Source Compression for FAISS Users—6x Compression Ratio, 85% Accuracy

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6 min read
Couchbase Weekly Updates - June 13, 2025

Couchbase Weekly Updates - June 13, 2025

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1 min read
Building a Multimodal Deep Research Agent

Building a Multimodal Deep Research Agent

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8 min read
Retrieval-Augmented Generation (RAG) with Vector Databases: Powering Context-Aware AI in 2025

Retrieval-Augmented Generation (RAG) with Vector Databases: Powering Context-Aware AI in 2025

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3 min read
What is an Embedding? And Why Should Devs Care?

What is an Embedding? And Why Should Devs Care?

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3 min read
How to Embed User Preferences

How to Embed User Preferences

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2 min read
My First AI Project: A Journey of Building RAG Knowledge Base from Scratch

My First AI Project: A Journey of Building RAG Knowledge Base from Scratch

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3 min read
Contextual chunking for Retrieval Augmented Generation

Contextual chunking for Retrieval Augmented Generation

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59 min read
Simplifying Programmatic Database Handling

Simplifying Programmatic Database Handling

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4 min read
Unorthodox journey towords data compression

Unorthodox journey towords data compression

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2 min read
5 Hidden Adobe Illustrator Features Every Designer (and Dev) Should Know

5 Hidden Adobe Illustrator Features Every Designer (and Dev) Should Know

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3 min read
SQL vs NoSQL? Why Not Both?

SQL vs NoSQL? Why Not Both?

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2 min read
A Complete Guide to Retrieval-Augmented Generation

A Complete Guide to Retrieval-Augmented Generation

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8 min read
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