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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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Export and run models with ONNX

Export and run models with ONNX

11
Comments
12 min read
Train a text labeler

Train a text labeler

9
Comments
2 min read
Train without labels

Train without labels

8
Comments
3 min read
Distributed embeddings cluster

Distributed embeddings cluster

5
Comments
5 min read
Extract text from documents

Extract text from documents

9
Comments
7 min read
Translate text between languages

Translate text between languages

9
Comments 4
4 min read
Transcribe audio to text

Transcribe audio to text

10
Comments 1
3 min read
Run pipeline workflows

Run pipeline workflows

9
Comments
6 min read
Building abstractive text summaries

Building abstractive text summaries

11
Comments
3 min read
Similarity search with images

Similarity search with images

10
Comments
4 min read
Tutorial series on txtai

Tutorial series on txtai

25
Comments
11 min read
Add semantic search to Elasticsearch

Add semantic search to Elasticsearch

13
Comments
7 min read
txtai API Gallery

txtai API Gallery

5
Comments 2
6 min read
Build an Embeddings index with Hugging Face Datasets

Build an Embeddings index with Hugging Face Datasets

4
Comments 4
4 min read
Apply labels with zero-shot classification

Apply labels with zero-shot classification

6
Comments
3 min read
Extractive QA with Elasticsearch

Extractive QA with Elasticsearch

5
Comments
5 min read
Build an Embeddings index from a data source

Build an Embeddings index from a data source

5
Comments
5 min read
Extractive QA with txtai

Extractive QA with txtai

4
Comments
2 min read
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