Llama Index 101 with Vector DBs and GPT 3.5

In this video, we'll explore Llama-index (previously GPT-index) and how we can use it with the Pinecone vector database for semantic search and retrieval augmentation of LLMs like gpt-3.5-turbo or gpt-4. We'll cover the essentials like Llama Index Documents, Nodes, the vectorstore object, service contexts and storage contexts.

🔗 Code Notebook:
https://github.com/pinecone-io/examples/blob/master/generation/llama-index/llama-index-intro.ipynb

👋🏼 NLP + LLM Consulting:
https://aurelio.ai

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https://patreon.com/JamesBriggs

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https://discord.gg/c5QtDB9RAP

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00:00 Getting Started with Llama Index
01:13 …

augmentation code database dbs documents gpt gpt-3 gpt-3.5 gpt-4 index llama llms notebook pinecone retrieval search semantic service storage vector vector database video