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haystack-pipeline

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Haystack NLP pipeline configuration for document processing and QA

Code Review

What this skill does


# Haystack Pipeline Skill

## Capabilities

- Configure Haystack pipeline components
- Set up document stores and retrievers
- Implement reader/generator models
- Design custom pipeline graphs
- Configure preprocessing pipelines
- Implement evaluation pipelines

## Target Processes

- rag-pipeline-implementation
- intent-classification-system

## Implementation Details

### Core Components

1. **DocumentStores**: Elasticsearch, Weaviate, FAISS, etc.
2. **Retrievers**: BM25, Dense, Hybrid
3. **Readers/Generators**: Extractive and generative QA
4. **Preprocessors**: Document cleaning and splitting

### Pipeline Types

- Retrieval pipelines
- RAG pipelines
- Evaluation pipelines
- Indexing pipelines

### Configuration Options

- Component selection
- Pipeline graph design
- Document store backend
- Model selection
- Preprocessing settings

### Best Practices

- Modular pipeline design
- Proper preprocessing
- Evaluation integration
- Component versioning

### Dependencies

- haystack-ai
- farm-haystack (legacy)

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