---
name: haystack-pipeline-16e7c5fcbe37
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:retrieval-augmented-generation, 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)


---
Source attribution: a5c-ai
Original project: https://github.com/a5c-ai/babysitter
License: MIT
License information: https://opensource.org/license/mit
Original upstream instructions; downloaded from Mega AI Hub.

## Upstream license notice

MIT License

Copyright (c) 2026 Gabriel Moreira

Permission is hereby granted, free of charge, to any person obtaining a copy
of this software and associated documentation files (the "Software"), to deal
in the Software without restriction, including without limitation the rights
to use, copy, modify, merge, publish, distribute, sublicense, and/or sell
copies of the Software, and to permit persons to whom the Software is
furnished to do so, subject to the following conditions:

The above copyright notice and this permission notice shall be included in all
copies or substantial portions of the Software.

THE SOFTWARE IS PROVIDED "AS IS", WITHOUT WARRANTY OF ANY KIND, EXPRESS OR
IMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES OF MERCHANTABILITY,
FITNESS FOR A PARTICULAR PURPOSE AND NONINFRINGEMENT. IN NO EVENT SHALL THE
AUTHORS OR COPYRIGHT HOLDERS BE LIABLE FOR ANY CLAIM, DAMAGES OR OTHER
LIABILITY, WHETHER IN AN ACTION OF CONTRACT, TORT OR OTHERWISE, ARISING FROM,
OUT OF OR IN CONNECTION WITH THE SOFTWARE OR THE USE OR OTHER DEALINGS IN THE
SOFTWARE.



# Mega AI Hub resource metadata

Creator / publisher: a5c-ai
Original project: https://github.com/a5c-ai/babysitter
Attribution basis: Upstream repository explicitly recorded in package mirror path

Fields of work: Data & Analytics, Development & Engineering, Operations, Product Management
Roles: Backend Developer, Business Process Analyst, Data Scientist, ML / AI Engineer, Product Manager
Specialties: API, Backend
Tools: Elasticsearch, Haystack Ai
Country applicability: Country not specified
Classification basis: Source catalog labels
Instruction SHA-256: bdf60a554147096c915233ed8188011db830a6cba755d15c58bb1db261f5c184