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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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Mini Tip of the Day - Preloading the License into the Docker IRIS Image

Mini Tip of the Day - Preloading the License into the Docker IRIS Image

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8 min read
Federation Over Embeddings: Let AI Agents Query Data Where It Lives

Federation Over Embeddings: Let AI Agents Query Data Where It Lives

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8 min read
RAG Architecture: Building AI Apps That Know Your Data" platform

RAG Architecture: Building AI Apps That Know Your Data" platform

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10 min read
Accelerating Multimodal Vector DB with Hugging Face + LanceDB

Accelerating Multimodal Vector DB with Hugging Face + LanceDB

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14 min read
Gemini 2 Embed Quality on bigger PDFs

Gemini 2 Embed Quality on bigger PDFs

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1 min read
12 Things Nobody Tells You About Building a Production RAG System

12 Things Nobody Tells You About Building a Production RAG System

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9 min read
Which Embedding Model Should You Actually Use in 2026? I Benchmarked 10 Models to Find Out

Which Embedding Model Should You Actually Use in 2026? I Benchmarked 10 Models to Find Out

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11 min read
Exploring Search Capabilities With Atlas Search-Part 2

Exploring Search Capabilities With Atlas Search-Part 2

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10 min read
RAG: The "Open Book" Exam for AI

RAG: The "Open Book" Exam for AI

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3 min read
Your Vector Database Decision Is Simpler Than You Think

Your Vector Database Decision Is Simpler Than You Think

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4 min read
Stop Calling FAISS a Database: The VectorStore vs. VectorDB Showdown🧠⚡

Stop Calling FAISS a Database: The VectorStore vs. VectorDB Showdown🧠⚡

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3 min read
The Secret Engine Behind Semantic Search: Vector Databases

The Secret Engine Behind Semantic Search: Vector Databases

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5 min read
Building a Vector Database from Scratch

Building a Vector Database from Scratch

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5 min read
Building a Semantic Search API with Spring Boot and pgvector - Part 2: Designing the PostgreSQL Schema

Building a Semantic Search API with Spring Boot and pgvector - Part 2: Designing the PostgreSQL Schema

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10 min read
From Documents to Answers: How RAG Works

From Documents to Answers: How RAG Works

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3 min read
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