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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
RAG: What, Why and How

RAG: What, Why and How

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6 min read
Build RAG Chatbot with LangChain, Milvus, Anthropic Claude 3 Haiku, and voyage-3-large

Build RAG Chatbot with LangChain, Milvus, Anthropic Claude 3 Haiku, and voyage-3-large

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8 min read
The Magic of Embeddings: How AI Understands Language Like Humans

The Magic of Embeddings: How AI Understands Language Like Humans

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4 min read
How to Use AI in Web Development: Integrating ChatGPT, LangChain, and Vector Databases

How to Use AI in Web Development: Integrating ChatGPT, LangChain, and Vector Databases

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3 min read
🚀 pgai Vectorizer: SQLAlchemy and LiteLLM Make Vector Search Simple

🚀 pgai Vectorizer: SQLAlchemy and LiteLLM Make Vector Search Simple

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3 min read
What are some practical use cases for the MERGE command in data warehousing?

What are some practical use cases for the MERGE command in data warehousing?

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3 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
Unlocking The World Of Vector And Raster Data Using The Key Of The Blog

Unlocking The World Of Vector And Raster Data Using The Key Of The Blog

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4 min read
Build RAG Chatbot with LangChain, Milvus, GPT-4o mini, and text-embedding-3-large

Build RAG Chatbot with LangChain, Milvus, GPT-4o mini, and text-embedding-3-large

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4 min read
Parsing the ⭐'s with txtai

Parsing the ⭐'s with txtai

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13 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
Build a RAG-Enabled Helpdesk Chatbot in 10 Minutes with MongoDB

Build a RAG-Enabled Helpdesk Chatbot in 10 Minutes with MongoDB

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6 min read
The Best Embedding Models for Information Retrieval in 2025

The Best Embedding Models for Information Retrieval in 2025

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5 min read
How to Chat with PDFs Using AI via API

How to Chat with PDFs Using AI via API

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3 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
Netflix But better

Netflix But better

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8 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
Storing and Retrieving Embeddings in Azure Table with Rust: An Educational Tutorial

Storing and Retrieving Embeddings in Azure Table with Rust: An Educational Tutorial

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6 min read
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