Llama Index ( GPT Index) step by step introduction
In this video we will learn to use llama index, formerly known as gpt-index to store documents to vector store indexes and then ask questions about them. We will also learn how to add multiple documents to the same index and create multiple indexes both using from documents functionality and nodes. We will also learn how we can customize the llm and the use the prompt helper for setting token limts etc...
code files are available to download along with 100+ other project files at Patreon:
/ 83057447
Auto Streamer: https://www.autostreamer.live/
Search all echohive videos and code download links:
https://www.echohive.live/
Watch the next Llama index video:
• Llama index (GPT index) Semantic Search in...
Llama index documentation: https://gpt-index.readthedocs.io/en/l...
LLama hub: https://llamahub.ai/
Chat with us on Discord:
/ discord
Try the GPT-4 Auto Coder app:
https://gpt4autocoder.streamlit.app/
OUTLINE:
00:00 Creating, Loading, querrying indexes
05:08 creating indexes from nodes
06:15 Reusing Nodes across Index Structures
07:24 adding a document to already existing index
10:22 Defining LLMs and prompt_helper
#llamaindex #gptindex #gpt3 #gpt #gpttutorial #vectorstore #openaiembeddings #openai #openaitutorial #openaiapi #largelanguagemodels #chatwithdocs #artificialintelligence #pythonprojects