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/learn/generation/llama-index/llama-index-intro.ipynb

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https://discord.gg/c5QtDB9RAP

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00:00 Getting Started with Llama Index
01:13 Llama Index Features
02:15 Llama Index Code Intro
03:55 Llama Index Document Objects
05:45 Llama Index Nodes
07:23 Indexing with Pinecone
09:22 Vector Store in Llama Index
15:36 Making Queries with Llama Index

#artificialintelligence #nlp #openai #generativeai

Видео Llama Index 101 with Vector DBs and GPT 3.5 канала James Briggs