Haystack Pipeline Skill

SkillDocs & knowledge

Haystack NLP pipeline configuration for document processing and QA

Instructions available. Your AI can read the instructions. Execution depends on the setup they require.

Account requirements not reviewed. Check the skill instructions before use; ahel provides instructions and does not run this skill.

Add ahel to your AI once: Claude, ChatGPT, Cursor, Claude Code or Codex. Then ask it to use this.

Then ask your AI: use the Haystack Pipeline Skill skill

What this skill tells your AI

The instructions your AI receives, as published by a5c-ai/babysitter in library/specializations/ai-agents-conversational/skills/haystack-pipeline/SKILL.md and read by ahel’s review.

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

DocumentStores: Elasticsearch, Weaviate, FAISS, etc.
Retrievers: BM25, Dense, Hybrid
Readers/Generators: Extractive and generative QA
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)

Signals

GitHub stars: 2k
Forks: 112
Last commit: Sep 2026

Advanced

Item type: skill
Key: haystack-pipeline
Source: github.com/a5c-ai/babysitter

github.com/a5c-ai/babysitter