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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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Push notifications with workflows

Push notifications with workflows

12
Comments
7 min read
Workflow Scheduling

Workflow Scheduling

9
Comments
6 min read
Entity extraction workflows

Entity extraction workflows

5
Comments
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
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14 min read
Export and run other machine learning models

Export and run other machine learning models

6
Comments
6 min read
Extractive QA to build structured data

Extractive QA to build structured data

8
Comments
3 min read
Train a QA model

Train a QA model

9
Comments 1
3 min read
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
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