PacktPublishing/Building-Natural-Language-and-LLM-Pipelines

Building RAG and Agentic Applications with Haystack 2.0, RAGAS and LangGraph 1.0 published by Packt

50
/ 100
Established

Covers deterministic pipeline design with strict tool contracts, context engineering for agent reliability, and production deployment patterns including microservices via FastAPI/Hayhooks and multi-agent orchestration with LangGraph's supervisor-worker patterns. Integrates evaluation frameworks (RAGAS, Weights & Biases) for cost and quality tracking, plus practical NLP tasks like NER and sentiment analysis as agentic tools within observable, fault-tolerant workflows.

No Package No Dependents
Maintenance 6 / 25
Adoption 8 / 25
Maturity 16 / 25
Community 20 / 25

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Stars

56

Forks

27

Language

Jupyter Notebook

License

MIT

Category

agentic-rag-systems

Last pushed

Jan 01, 2026

Commits (30d)

0

GitHub
Agentic RAG Systems · 240 tools

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