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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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Quantize Your Vectors, Speed Up Your Java AI Applications
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Quantize Your Vectors, Speed Up Your Java AI Applications

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20 min read
Building a 'Chat with Your Logs' System on AWS Using OpenSearch Serverless and Bedrock

Building a 'Chat with Your Logs' System on AWS Using OpenSearch Serverless and Bedrock

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7 min read
The Missing Link: How to Retrieve Full Documents with AWS S3 Vectors
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The Missing Link: How to Retrieve Full Documents with AWS S3 Vectors

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3 min read
Furniture Image Classification Using TypeScript + BilberryDB SDK vs. No-Code Approach
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Furniture Image Classification Using TypeScript + BilberryDB SDK vs. No-Code Approach

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4 min read
💡 What's new in txtai 9.0

💡 What's new in txtai 9.0

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5 min read
Day 7 — FAISS empty vectors, metric mismatch, and recall collapse (ProblemMap No.8)

Day 7 — FAISS empty vectors, metric mismatch, and recall collapse (ProblemMap No.8)

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3 min read
Semantic Embedding in RAG: why close vectors still miss meaning and how to fix it

Semantic Embedding in RAG: why close vectors still miss meaning and how to fix it

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4 min read
Crafting a Monster Hunter Wilds AI Assistant: Scrapy, Vector Search & Prompt Engineering
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Crafting a Monster Hunter Wilds AI Assistant: Scrapy, Vector Search & Prompt Engineering

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8 min read
Building with Generative AI: Lessons from 5 Projects Part 2: Embedding
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Building with Generative AI: Lessons from 5 Projects Part 2: Embedding

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9 min read
🧠 GenAI as a Backend Engineer: Part 2 - Vector DBs
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🧠 GenAI as a Backend Engineer: Part 2 - Vector DBs

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3 min read
Vector Database: Core Concepts
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Vector Database: Core Concepts

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4 min read
Snowflake AI_EMBED Function - Your Gateway to Unified Multimodal Vector Search

Snowflake AI_EMBED Function - Your Gateway to Unified Multimodal Vector Search

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5 min read
Sub-millisecond similarity search on IVF indexes with PDX
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Sub-millisecond similarity search on IVF indexes with PDX

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6 min read
⚡ Implementing Semantic Search (Vector Search) Using Amazon S3 Vectors

⚡ Implementing Semantic Search (Vector Search) Using Amazon S3 Vectors

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3 min read
Vector Databases for Data Scientists: What, Why, and When to Use Them
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Vector Databases for Data Scientists: What, Why, and When to Use Them

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4 min read
Is your Vector Database Really Fast?
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Is your Vector Database Really Fast?

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9 min read
My Journey with Sentence Transformers, OpenAI Embeddings, and Vector Databases

My Journey with Sentence Transformers, OpenAI Embeddings, and Vector Databases

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3 min read
Hybrid vector + text Search in the terminal with SurrealDB and Ratatui
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Hybrid vector + text Search in the terminal with SurrealDB and Ratatui

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21 min read
Binary Quantization: the 1-bit trick that turns terabytes of vectors into pocket-sized fingerprints
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Binary Quantization: the 1-bit trick that turns terabytes of vectors into pocket-sized fingerprints

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7 min read
halfvec: Half the Bits, Twice the speed?
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halfvec: Half the Bits, Twice the speed?

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7 min read
How to Build a Global Search Engine Using Vector Embeddings
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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
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Automate Vector Database Update with AWS and CircleCI

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21 min read
Use Cases for HNSW-SQLite Library
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Use Cases for HNSW-SQLite Library

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2 min read
Designing Data Systems with Vector Embeddings using Redis Vector Sets
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Designing Data Systems with Vector Embeddings using Redis Vector Sets

1
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8 min read
Databend Monthly Report(June 2025)
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Databend Monthly Report(June 2025)

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5 min read
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