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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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Milvus Adventures

Milvus Adventures

77
Comments
2 min read
Make Notion search great again: semantic search

Make Notion search great again: semantic search

11
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6 min read
How to use Chroma to store and query vector embeddings

How to use Chroma to store and query vector embeddings

4
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5 min read
Make Notion search great again: vector embeddings

Make Notion search great again: vector embeddings

10
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8 min read
Moving from Typescript and Langchain to Rust and Loops

Moving from Typescript and Langchain to Rust and Loops

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Comments 7
6 min read
External database integration

External database integration

2
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9 min read
Benefits of hybrid search

Benefits of hybrid search

3
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5 min read
Building an efficient sparse keyword index in Python

Building an efficient sparse keyword index in Python

3
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9 min read
💡 What's new in txtai 6.0

💡 What's new in txtai 6.0

8
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9 min read
20x Faster as the Beginning: Introducing pgvecto.rs extension written in Rust

20x Faster as the Beginning: Introducing pgvecto.rs extension written in Rust

16
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4 min read
Do we really need a specialized vector database?

Do we really need a specialized vector database?

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Comments 3
11 min read
Using Postgresql pg_vector for AI: Part 1, WTF is a Vector Anyway?

Using Postgresql pg_vector for AI: Part 1, WTF is a Vector Anyway?

3
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5 min read
How to install the Weaviate vector database on Debian 12

How to install the Weaviate vector database on Debian 12

1
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2 min read
How to use Weaviate to store OpenAI embedding vectors in a Golang program

How to use Weaviate to store OpenAI embedding vectors in a Golang program

3
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6 min read
Why your brain is 3 million times more efficient than GPT-4 - introduction to Vector Databases and their comparison

Why your brain is 3 million times more efficient than GPT-4 - introduction to Vector Databases and their comparison

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24 min read
Should You Use IVFFlat Indexing with pgvector?

Should You Use IVFFlat Indexing with pgvector?

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2 min read
Using Pinecone and Embeddings

Using Pinecone and Embeddings

1
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8 min read
Quick tip: Using SingleStoreDB with LlamaIndex

Quick tip: Using SingleStoreDB with LlamaIndex

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5 min read
Image Vector Similarity Search with Azure Computer Vision and PostgreSQL

Image Vector Similarity Search with Azure Computer Vision and PostgreSQL

2
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13 min read
Quick tip: SingleStoreDB integration with LangChain

Quick tip: SingleStoreDB integration with LangChain

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3 min read
Using Vector Databases(Pinecone) with data(JSON,tabular).

Using Vector Databases(Pinecone) with data(JSON,tabular).

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Comments 2
4 min read
Building a vector database sidecar for semantic search & entity resolution

Building a vector database sidecar for semantic search & entity resolution

1
Comments 1
7 min read
Unveiling the Hype: What Are Vector Databases and Why They're the Talk of the Town!

Unveiling the Hype: What Are Vector Databases and Why They're the Talk of the Town!

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4 min read
The Magic of Embeddings

The Magic of Embeddings

5
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6 min read
Understanding Vector Databases

Understanding Vector Databases

17
Comments 1
4 min read
Quick tip: Using OpenAI with SingleStoreDB to store and query vectors of Fine Food Reviews

Quick tip: Using OpenAI with SingleStoreDB to store and query vectors of Fine Food Reviews

1
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4 min read
Customize your own embeddings database

Customize your own embeddings database

3
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9 min read
Quick tip: Using OpenAI Embeddings Search with SingleStoreDB

Quick tip: Using OpenAI Embeddings Search with SingleStoreDB

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7 min read
Prompt templates and task chains

Prompt templates and task chains

2
Comments 1
4 min read
Embeddings in the Cloud

Embeddings in the Cloud

2
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6 min read
Prompt-driven search with LLMs

Prompt-driven search with LLMs

3
Comments 1
6 min read
Train a language model from scratch

Train a language model from scratch

9
Comments 1
5 min read
Text to speech generation

Text to speech generation

8
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4 min read
Classic Topic Modeling with BM25

Classic Topic Modeling with BM25

4
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5 min read
Introducing the Semantic Graph

Introducing the Semantic Graph

8
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9 min read
Embeddings index components

Embeddings index components

4
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7 min read
Run txtai in native code

Run txtai in native code

8
Comments 1
7 min read
Pictures are a worth a thousand words

Pictures are a worth a thousand words

8
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3 min read
Build a QA database

Build a QA database

12
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3 min read
Query translation

Query translation

8
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4 min read
Model explainability

Model explainability

8
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5 min read
Embeddings SQL custom functions

Embeddings SQL custom functions

8
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4 min read
Near duplicate image detection

Near duplicate image detection

7
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3 min read
Anatomy of a txtai index

Anatomy of a txtai index

7
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7 min read
Push notifications with workflows

Push notifications with workflows

12
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7 min read
Workflow Scheduling

Workflow Scheduling

9
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6 min read
Entity extraction workflows

Entity extraction workflows

5
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3 min read
Generate image captions and detect objects

Generate image captions and detect objects

4
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2 min read
💡 What's new in txtai 4.0

💡 What's new in txtai 4.0

9
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7 min read
Tensor workflows

Tensor workflows

7
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5 min read
Transform tabular data with composable workflows

Transform tabular data with composable workflows

8
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14 min read
Export and run other machine learning models

Export and run other machine learning models

6
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6 min read
Extractive QA to build structured data

Extractive QA to build structured data

8
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3 min read
Train a QA model

Train a QA model

8
Comments 1
3 min read
Export and run models with ONNX

Export and run models with ONNX

10
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12 min read
Train a text labeler

Train a text labeler

8
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2 min read
Train without labels

Train without labels

8
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3 min read
Distributed embeddings cluster

Distributed embeddings cluster

5
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5 min read
Extract text from documents

Extract text from documents

9
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7 min read
Translate text between languages

Translate text between languages

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Comments 3
4 min read
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