動画検索
関連広告
検索結果
Dancing Kangaroo
Snow Dogs
River Birds
Big Sur
Movie Trailer Astronaut
Coffee Pirates
Cyberpunk Robot
Candle Monster
The Offroader
Nosy Cat
Woolly Mammoths
Lagos
Cloud Reader
Miniature Construction
Gold Rush Aerial
Amalfi Coast Aerial
Tokyo Tourist
Blossoming Flower
Solemn Gentleman
Eye Close-up
Chinese New Year
Dalmatian in the Window
Tokyo Train
Zen Garden Gnome
Lost Lone Wolf
Introduction to embeddings and OpenAI
Explanation of embeddings and vector spaces
Discussing the flexibility of OpenAI embeddings and dimensions
Implementation code overview and repository link
Dataset description and access through Hugging Face
Creating embeddings using OpenAI client
Setting up MongoDB as the vector database
Ingesting data into MongoDB and verifying the process
Creating a vector search index in MongoDB
Writing a function to perform vector searches
Handling user queries and augmenting with additional context
Example query and response demonstration
Introduction to LlamaIndex update and AI stacks
Explanation of an AI stack and its components
Discussion on the role definition between AI engineer and AI stack engineer
Overview of RAG systems and their architecture
Dive into code implementation using Python, OpenAI, LlamaIndex, and MongoDB
Loading and preparing the dataset for use in the project
Setting up global configurations for LlamaIndex
Creating documents from dataset rows and configuring metadata
Generating embeddings for the documents using OpenAI models
Steps to create a MongoDB database collection and vector index
Ingesting data into the MongoDB vector store
Performing vector search queries and displaying results
Teaser for future content on metadata filtering and LlamaIndex ingestion pipeline
Conclusion and invitation for feedback on AI stack definitions and content requests