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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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Supabase helper for better RPC function typing with jsonb fields

Supabase helper for better RPC function typing with jsonb fields

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2 min read
Quick tip: How to Build Local LLM Apps with Ollama and SingleStore

Quick tip: How to Build Local LLM Apps with Ollama and SingleStore

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5 min read
Quick tip: Write numpy arrays directly to the SingleStore VECTOR data type

Quick tip: Write numpy arrays directly to the SingleStore VECTOR data type

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3 min read
Vector Search is Eating the Web

Vector Search is Eating the Web

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4 min read
Vector Databases Are the Base of RAG Retrieval

Vector Databases Are the Base of RAG Retrieval

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6 min read
Exploring BGE-M3 and Splade: Two Machine Learning Models for Generating Sparse Embeddings

Exploring BGE-M3 and Splade: Two Machine Learning Models for Generating Sparse Embeddings

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8 min read
Practical Tips and Tricks for Developers Building RAG Applications

Practical Tips and Tricks for Developers Building RAG Applications

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11 min read
How to Build a Crystal Image Search App with Vector Search

How to Build a Crystal Image Search App with Vector Search

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14 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
Enhancing RAG Performance: A Comprehensive Guide

Enhancing RAG Performance: A Comprehensive Guide

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7 min read
MyScaleDB, the Revolutionary SQL Vector Database, Goes Open-Source

MyScaleDB, the Revolutionary SQL Vector Database, Goes Open-Source

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2 min read
Melhorando as respostas de um LLM: RAG de vídeo do Fábio Akita

Melhorando as respostas de um LLM: RAG de vídeo do Fábio Akita

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9 min read
Advanced RAG with guided generation

Advanced RAG with guided generation

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4 min read
Retrieval-Augmented Generation: Using your Data with LLMs

Retrieval-Augmented Generation: Using your Data with LLMs

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8 min read
Emergence of Vector Databases

Emergence of Vector Databases

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4 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
Quick tip: Using Apache Spark Structured Streaming with SingleStore Notebooks

Quick tip: Using Apache Spark Structured Streaming with SingleStore Notebooks

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5 min read
Quick tip: Cosine Similarity revisited in SingleStore

Quick tip: Cosine Similarity revisited in SingleStore

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3 min read
LangChain Memory: Enhancing AI Conversational Capabilities

LangChain Memory: Enhancing AI Conversational Capabilities

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5 min read
Falcon 180B: Advancing Language Models in the AI Frontier

Falcon 180B: Advancing Language Models in the AI Frontier

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5 min read
Vector Database solutions on AWS

Vector Database solutions on AWS

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2 min read
Vector Search at the Edge with Couchbase Mobile

Vector Search at the Edge with Couchbase Mobile

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8 min read
Mistral 7B vs. Mixtral 8x7B

Mistral 7B vs. Mixtral 8x7B

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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
How to Evaluate RAG Applications

How to Evaluate RAG Applications

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10 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
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
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

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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

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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

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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
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