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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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Use pgvector for searching images on Azure Cosmos DB for PostgreSQL

Use pgvector for searching images on Azure Cosmos DB for PostgreSQL

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5 min read
What is Hybrid Search?

What is Hybrid Search?

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9 min read
pgvector 0.6.0: 30x faster with parallel index builds

pgvector 0.6.0: 30x faster with parallel index builds

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3 min read
Extract Valuable Insights from Your Data Using AutoGPT with Qdrant

Extract Valuable Insights from Your Data Using AutoGPT with Qdrant

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11 min read
4 Ins and Outs of 2024: Vector Database Edition

4 Ins and Outs of 2024: Vector Database Edition

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3 min read
Vector Search as a dedicated service

Vector Search as a dedicated service

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6 min read
External vectorization

External vectorization

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4 min read
Building Multilingual Image Search with Marqo

Building Multilingual Image Search with Marqo

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6 min read
Generate knowledge with Semantic Graphs and RAG

Generate knowledge with Semantic Graphs and RAG

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13 min read
Building a Recommender System using vector databases

Building a Recommender System using vector databases

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7 min read
Quick tip: Using Approximate Nearest Neighbor (ANN) Search with SingleStoreDB

Quick tip: Using Approximate Nearest Neighbor (ANN) Search with SingleStoreDB

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9 min read
Vector Database 101: Resources and Events to Learn about Vector DBs in 2024

Vector Database 101: Resources and Events to Learn about Vector DBs in 2024

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4 min read
What are Vector Embeddings?

What are Vector Embeddings?

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6 min read
A Quick Walkthrough of Semantic Kernel's Kusto Connector for Vector Database Integration

A Quick Walkthrough of Semantic Kernel's Kusto Connector for Vector Database Integration

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3 min read
Quick tip: Using the new VECTOR data type and Infix Operators in SingleStoreDB

Quick tip: Using the new VECTOR data type and Infix Operators in SingleStoreDB

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3 min read
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