PacktPublishing/Building-Natural-Language-and-LLM-Pipelines
Building RAG and Agentic Applications with Haystack 2.0, RAGAS and LangGraph 1.0 published by Packt
This repository provides code examples for building reliable AI applications that use large language models (LLMs). It guides you through creating robust systems that can retrieve specific information from your own documents and automate complex tasks using AI agents. This is ideal for AI/ML engineers and data scientists looking to implement advanced natural language processing solutions.
Use this if you need to build production-grade AI applications that reliably answer questions based on your data or automate intricate workflows using multiple AI agents.
Not ideal if you are looking for a simple, off-the-shelf solution for basic LLM prompting without needing to customize or integrate with existing systems.
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MIT
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Last pushed
Jan 01, 2026
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