The article discusses the steps involved in building an LLM-langchain-powered application. It covers data extraction, initializing the model, splitting the data, embeddings, vector databases, modeling, and inference. The author’s experience is mainly on semantic search and question-answering, and the article does not cover web scraping or acquiring the dataset.
source update: The Anatomy of a Full Large Language Model Langchain Application – Towards AI
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