Wed, Oct 2, 20249:36RAG
Building a Perplexity Clone with LangChain
From the video description
In this showcase, Saurabh demonstrates a clone of Perplexity, highlighting the capabilities of LangChain in creating powerful question-answering systems.
Write-up
LangChain-powered Question-Answering System
In this showcase, Saurabh demonstrates a clone of Perplexity, highlighting the capabilities of LangChain in creating powerful question-answering systems.
Key Features
- Advanced natural language processing
- Real-time information retrieval
- Context-aware responses
GitHub Repository
You can explore the implementation details in the following Jupyter notebook:
Austin LangChain Perplexity Clone Notebook
This notebook provides a comprehensive guide on how to build a Perplexity-like system using LangChain, showcasing the potential of AI in creating sophisticated question-answering platforms.
Don’t miss the live demonstration during the October 2024 meeting!
Same night
30:09Expert Panel: AI-Accelerated Software DevelopmentKarim Lalani, Robert Kessler, Jackson Arnold, Ryan Booth, Colin McNamara
32:28OutlookRAG: Email Categorization and SummarizationJackson Arnold, Cameron Rohn · RAG
1:16:50October 2024 Austin LangChain - Full meeting OutlookRAG Perplexity Clone Expert PanelRAG
