Llama Index 101 with Vector DBs and GPT 3.5

Explore Llama-index (previously GPT-index) and its integration with Pinecone vector database for semantic search and retrieval augmentation of LLMs like gpt-3.5-turbo or gpt-4 in this 19-minute tutorial video. Learn about essential concepts including Llama Index Documents, Nodes, vectorstore objects, service contexts, and storage contexts. Follow along with the provided code notebook to gain hands-on experience. Discover how to get started with Llama Index, understand its features, work with Document objects and Nodes, index with Pinecone, utilize the Vector Store in Llama Index, and make queries. Gain valuable insights into artificial intelligence, natural language processing, and generative AI applications.

Getting Started with Llama Index
Llama Index Features
Llama Index Code Intro
Llama Index Document Objects
Llama Index Nodes
Indexing with Pinecone
Vector Store in Llama Index
Making Queries with Llama Index