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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:
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llama-Index RAG: • Talk to Your Documents...
How to chunk Documents: • LangChain: How to Prop...
llama-Index Github: github.com/jer...
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