---
name: haystack-pipeline
description: Haystack NLP pipeline configuration for document processing and QA
allowed-tools:
  - Read
  - Write
  - Edit
  - Bash
  - Glob
  - Grep
graph:
  domains: [domain:software-engineering]
  specializations: [specialization:ai-agents-conversational]
  skillAreas: [skill-area:natural-language-processing]
  roles: [role:ml-engineer, role:backend-engineer]
  workflows: [workflow:ml-model-lifecycle, workflow:feature-development]

---

# 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)