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# rag

Retrieval augmented generation, or RAG, is an architectural approach that can improve the efficacy of large language model (LLM) applications by leveraging custom data.

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Pictures are a worth a thousand words

Pictures are a worth a thousand words

8
Comments
3 min read
Build a QA database

Build a QA database

12
Comments
3 min read
Query translation

Query translation

8
Comments
4 min read
Model explainability

Model explainability

8
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5 min read
Near duplicate image detection

Near duplicate image detection

8
Comments
3 min read
Embeddings SQL custom functions

Embeddings SQL custom functions

8
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4 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
đź’ˇ What's new in txtai 4.0

đź’ˇ What's new in txtai 4.0

9
Comments
7 min read
Tensor workflows

Tensor workflows

7
Comments
5 min read
Transform tabular data with composable workflows

Transform tabular data with composable workflows

8
Comments
14 min read
Export and run other machine learning models

Export and run other machine learning models

6
Comments
6 min read
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