AI, Data Science & Cloud Certificates from Google, IBM & Meta — 40% Off
One plan covers every Professional Certificate on Coursera. 40% off Coursera Plus Annual.
Unlock All Certificates
Explore how conceptualizing NLP applications and LLMs as graphs can simplify development and enhance customization in this 34-minute PyCon US talk. Discover the structure of common NLP applications like retrieval-augmented generation (RAG) and learn to represent each step as a node in a graph. Examine the incorporation of branches and loops into these applications, and delve into building customized tooling for NLP applications in Python. Follow along with working examples using Haystack's pipeline structure and custom component API, including a private Notion question-answering app and a Hacker News post summarizer. Gain valuable insights into the benefits of viewing NLP applications as directed multi-graphs and explore tools available to Python developers for integrating this architecture using open-source frameworks like Haystack.
