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3min chapter
GraphRAG (beyond the hype)
Practical AI: Machine Learning, Data Science, LLM
Understanding the RAG Pipeline and API Development Tools
This chapter delves into the construction of graphs and vector stores within the Retrieval-Augmented Generation pipeline, focusing on the indexing and serving stages. It highlights the transformation of user queries into embeddings and graph queries, while also offering a solution for API developers with a platform designed for building and integrating APIs.
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Discover
highlights
Listen to the best highlights from the podcasts you love and dive into the full episode