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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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Building an AI-Powered Document Retrieval System with Docling and Granite 3.1

Building an AI-Powered Document Retrieval System with Docling and Granite 3.1

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6 min read
The Hidden Magic Behind Search: Dense, Sparse, and Metadata Filtering

The Hidden Magic Behind Search: Dense, Sparse, and Metadata Filtering

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3 min read
Tutorial: LangChain, Milvus, Anthropic Claude 3 Haiku, and voyage-3-large RAG Chatbot

Tutorial: LangChain, Milvus, Anthropic Claude 3 Haiku, and voyage-3-large RAG Chatbot

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8 min read
Stop Over-Engineering AI Apps: The Case for Boring Technologies

Stop Over-Engineering AI Apps: The Case for Boring Technologies

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7 min read
RAG Chatbot Tutorial: LangChain, Milvus, GPT-4o mini, and text-embedding-3-large

RAG Chatbot Tutorial: LangChain, Milvus, GPT-4o mini, and text-embedding-3-large

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4 min read
One Line of SQL, All the LiteLLM Embeddings

One Line of SQL, All the LiteLLM Embeddings

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10 min read
Parsing the ⭐'s with txtai

Parsing the ⭐'s with txtai

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13 min read
Performance Tips for Developers Using Postgres and pgvector

Performance Tips for Developers Using Postgres and pgvector

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3 min read
Chunking your data for RAG

Chunking your data for RAG

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26 min read
Milvus: Your Vector Database Powerhouse – A Deep Dive

Milvus: Your Vector Database Powerhouse – A Deep Dive

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5 min read
Vector Databases vs. PostgreSQL with pg_vector for RAG Setups

Vector Databases vs. PostgreSQL with pg_vector for RAG Setups

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4 min read
OpenSearchCon Europe 2025 - Amsterdam!

OpenSearchCon Europe 2025 - Amsterdam!

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1 min read
Top 5 Local Vector Databases

Top 5 Local Vector Databases

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5 min read
Get started with Vector Search in Azure Cosmos DB

Get started with Vector Search in Azure Cosmos DB

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6 min read
Scaling Vector Search for AI-Powered Applications

Scaling Vector Search for AI-Powered Applications

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3 min read
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