December 2025
Intermediate to advanced
338 pages
9h 21m
English
Content preview from Building Natural Language and LLM Pipelines
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7
Deploying Haystack-Based Applications
In the previous chapter, we constructed a robust question-answering (Q&A) pipeline using Haystack's tools for RAG. We focused on building a reproducible and scalable system, integrating evaluation metrics and feedback loops to continuously improve model performance. With these foundations in place, we're ready to take the next step: deploying our pipeline in a production environment.
In this chapter, we'll delve into the deployment strategies that bring NLP pipelines like ours to life in real-world applications. From understanding core deployment needs to mastering API integration and containerization, we'll cover techniques that ensure our pipeline is accessible, scalable, and manageable once it's live. ...
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