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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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Advanced Querying Techniques in Vector Databases

Advanced Querying Techniques in Vector Databases

19
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7 min read
pgvector vs. pgvecto.rs in 2024: A Comprehensive Comparison for Vector Search in PostgreSQL

pgvector vs. pgvecto.rs in 2024: A Comprehensive Comparison for Vector Search in PostgreSQL

10
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7 min read
pgvecto.rs 0.2: Unifying Relational Queries and Vector Search in PostgreSQL

pgvecto.rs 0.2: Unifying Relational Queries and Vector Search in PostgreSQL

3
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5 min read
Information Retrieval Metrics

Information Retrieval Metrics

13
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5 min read
Qdrant 1.8.0 - Major Performance Enhancements

Qdrant 1.8.0 - Major Performance Enhancements

28
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5 min read
Beyond Vector Search: How Metadata Indexing Helps to Find Dating App Matches

Beyond Vector Search: How Metadata Indexing Helps to Find Dating App Matches

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4 min read
The Subtleties of Vector Similarity Scales (part 4)

The Subtleties of Vector Similarity Scales (part 4)

10
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10 min read
Perform Image-Driven Reverse Image Search on E-Commerce Sites with ImageBind and Qdrant

Perform Image-Driven Reverse Image Search on E-Commerce Sites with ImageBind and Qdrant

4
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8 min read
Using Vectors with Apache Cassandra and DataStax Astra DB (part 3)

Using Vectors with Apache Cassandra and DataStax Astra DB (part 3)

10
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8 min read
Build knowledge graphs with LLM-driven entity extraction

Build knowledge graphs with LLM-driven entity extraction

5
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3 min read
Advanced RAG with graph path traversal

Advanced RAG with graph path traversal

1
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6 min read
💡 What's new in txtai 7.0

💡 What's new in txtai 7.0

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6 min read
Vector Similarities: How Similar Are They? (part 2)

Vector Similarities: How Similar Are They? (part 2)

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Comments 2
9 min read
Sparse Vectors in Qdrant: Pure Vector-based Hybrid Search

Sparse Vectors in Qdrant: Pure Vector-based Hybrid Search

36
Comments 2
15 min read
Navigating Hybrid Search with MongoDB: Ugly Approach

Navigating Hybrid Search with MongoDB: Ugly Approach

5
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3 min read
Using LLM, Postgres VectorDB, and OpenAI to Perform Semantic Search on PDF Documents

Using LLM, Postgres VectorDB, and OpenAI to Perform Semantic Search on PDF Documents

7
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2 min read
Best Practices for Massive-Scale Deployments: Multitenancy and Custom Sharding

Best Practices for Massive-Scale Deployments: Multitenancy and Custom Sharding

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6 min read
How to build a question answering system in Node.js with a vector index and OpenAI

How to build a question answering system in Node.js with a vector index and OpenAI

14
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12 min read
AI-Powered Image Search with CLIP, pgvector, and Fast API

AI-Powered Image Search with CLIP, pgvector, and Fast API

13
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6 min read
Use pgvector for searching images on Azure Cosmos DB for PostgreSQL

Use pgvector for searching images on Azure Cosmos DB for PostgreSQL

5
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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

105
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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

21
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3 min read
Vector Search as a dedicated service

Vector Search as a dedicated service

19
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6 min read
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