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This article provides an overview of the core concepts of Large Language Models (LLMs) in LangChain, including LLM components, prompt templates, indexing, memory, chains, and agents.
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this is my /maɪ/ blog. The world is a messy place but at least now I have a way of structuring queries about it. And let me share with you my own story or all I known about my career - technical and non-technical in the most naive way.
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This article provides an overview of Large Language Models (LLMs), LLMs evolution and the core concepts of LangChain - an open source framework for building applications based on LLMs.
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In this article, we delve into Vector Databases by using Pinecone and explore the fundamentals of vector embeddings, indexes, and essential components of these databases. Furthermore, it will provide a guide on setting up a Vector Database on Pinecone, walking through the installation process, obtaining API keys, and initializing client connections.