From the course: Hands-On AI: Building LLM-Powered Apps
Challenge: Enabling load PDF to Chainlit app - Python Tutorial
From the course: Hands-On AI: Building LLM-Powered Apps
Challenge: Enabling load PDF to Chainlit app
- [Instructor] Welcome back to the hands-on session. In this lab we will add a feature of loading and processing PDF to our chat with PDF application. In this lab we will use lang chain's PDF processing connectors to load PDF. And we will chunk it using lang chain's document transformers. And finally, we will use Chainlit's ask file message to ask the user to input their own PDF documents. Please go through the exercises here in App.pi. Feel free to use Google search or visit lang chain's and Chainlit's documentation. Good luck.
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Contents
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Retrieval augmented generation3m 30s
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Search engine basics2m 32s
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Embedding search3m
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Embedding model limitations3m 15s
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Challenge: Enabling load PDF to Chainlit app48s
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Solution: Enabling load PDF to Chainlit app5m 4s
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Challenge: Indexing documents into a vector database1m 50s
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Solution: Indexing documents into a vector database1m 43s
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Challenge: Putting it all together1m 10s
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Solution: Putting it all together3m 17s
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Trying out your chat with the PDF app2m 15s
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