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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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Vector Search at the Edge with Couchbase Mobile

Vector Search at the Edge with Couchbase Mobile

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8 min read
My binary vector search is better than your FP32 vectors

My binary vector search is better than your FP32 vectors

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5 min read
Couchbase Server 7.6 Top New Features For Developers

Couchbase Server 7.6 Top New Features For Developers

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3 min read
How ColBERT Helps Developers Overcome the Limits of Retrieval-Augmented Generation

How ColBERT Helps Developers Overcome the Limits of Retrieval-Augmented Generation

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6 min read
Using pgvector To Locate Similarities In Enterprise Data

Using pgvector To Locate Similarities In Enterprise Data

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11 min read
Unlock Advanced Search Capabilities with Milvus and Read about RAG

Unlock Advanced Search Capabilities with Milvus and Read about RAG

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5 min read
Mastering LLM Challenges: An Exploration of Retrieval Augmented Generation

Mastering LLM Challenges: An Exploration of Retrieval Augmented Generation

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5 min read
Advanced Querying Techniques in Vector Databases

Advanced Querying Techniques in Vector Databases

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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

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7 min read
How to Evaluate RAG Applications

How to Evaluate RAG Applications

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10 min read
We Built an Open Source Drop-In for OpenAI's Assistants API Powered by Astra DB Vector Search

We Built an Open Source Drop-In for OpenAI's Assistants API Powered by Astra DB Vector Search

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3 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

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5 min read
Information Retrieval Metrics

Information Retrieval Metrics

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5 min read
Qdrant 1.8.0 - Major Performance Enhancements

Qdrant 1.8.0 - Major Performance Enhancements

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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)

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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

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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)

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

Build knowledge graphs with LLM-driven entity extraction

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3 min read
Advanced RAG with graph path traversal

Advanced RAG with graph path traversal

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

Sparse Vectors in Qdrant: Pure Vector-based Hybrid Search

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15 min read
Navigating Hybrid Search with MongoDB: Ugly Approach

Navigating Hybrid Search with MongoDB: Ugly Approach

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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

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2 min read
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