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Introduction to AI Orchestration with LangChain and LlamaIndex

Feb 16, 2024 • M. Joel Dubinko

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About this course

Learn how to rapidly build future-proof generative AI apps, locally or in the cloud, using AI orchestration frameworks like LangChain and LlamaIndex.



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Building local AI apps with LangChain and LlamaIndex

54s
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What you should know

1m 19s
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Setting up your environment for building AI apps

1m 23s
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AI orchestration concepts

3m 3s
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Building an app with the OpenAI API

4m 33s
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Running local LLMs

8m 54s
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Your first LangChain app

3m 26s
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Your first LlamaIndex app

4m 22s
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Debugging AI apps

4m 3s
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AI over local documents: Retrieval-augmented generation

5m 14s
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Choosing an embedding

3m 56s
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RAG with LlamaIndex

5m
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RAG with LangChain

4m 29s
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Challenge: Document summarization

2m 39s
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Solution: Document summarization

1m 26s
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App concepts for chaining and more complex workflows

3m 23s
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Getting JSON out of the LLM

6m 21s
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LLM function calling

5m 25s
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Challenge: Local LLM task offloading

2m 53s
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Solution: Local LLM task offloading

1m 41s
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Introduction to the ReAct agent framework

3m 41s
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Implementing a ReAct agent

5m 4s
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Challenge: LangChain and LlamaIndex strengths and weaknesses

1m 12s
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Solution: LangChain and LlamaIndex strengths and weaknesses

1m 8s
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Next steps for AI app engineers

2m 20s