Understanding Embeddings in RAG and How to use them - Llama-Index

In this video, we will take a deep dive into the World of Embeddings and understand how to use them in RAG pipeline in Llama-index. First, we will understand the concept and then will look at home to use different embeddings including OpenAI Embedding, Open source embedding (BGE, and instructor embeddings) in llama-index. We will also benchmark their speed.
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LINKS:
Google Colab: https://tinyurl.com/mr2mf65n
llama-Index RAG: https://youtu.be/WL7V9JUy2sE
How to chunk Documents: https://youtu.be/n0uPzvGTFI0
llama-Index Github: https://github.com/jerryjliu/llama_index

TIMESTAMPS:
[00:00] Intro
[01:21] What are Embeddings
[03:58] How they Work!
[05:54] Custom Embeddings
[08:30] OpenAI Embeddings
[09:33] Open-Source Embeddings
[10:45] BGE Embeddings
[11:42] Instructor Embeddings
[11:57] Speed Benchmarking

Видео Understanding Embeddings in RAG and How to use them - Llama-Index канала Prompt Engineering