This was my talk at PyCon 2024 where I talk about our graph approach to building AI applications, especially since the release of Haystack 2.0.
In this talk, I give examples of common language model use cases such as retrieval augmented generation, embedding documents into vector databases, and how they can all be represented as graphs. I also talk about how having branches and loops can be really useful in many use cases, especially to build 'agentic' AU pipelines.
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smashingmag
mclloyd
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