The GIST of LangChain- Get started by with your "Hello World" chain
Ice Breaker Real World Generative AI application
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Ice Breaker- What are we building here? (0:42)
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Integrating Linkedin Data Processing - Part 1 - Scraping (12:54)
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Linkedin Data Processing - Part 2 - Agents Theory (4:22)
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Linkedin Data Processing- Part 3: Tools, AgentType & initialize_agent (5:23)
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Linkedin Data Processing- Part 4: Custom Agent Implementation & Testing (19:29)
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Twitter Data Processing- Part 1- Scraping (8:32)
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Twitter Data Processing- Part 2- Agents (11:11)
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Output Parsers- Getting Ready to work with a Frontend (11:23)
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FullsStack App- Building our LLM powered by LangChain FullStack Application (6:34)
The GIST of Embeddings, Vector Databases and, VectorDBQA chain & RetrievalQA
Building a documentation assistant (Embeddings, VectorDBs, RetrievalQA, Memory)
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What are we building? (1:54)
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Building an AI LangChain Chat Assistant- Vectorstore Pincone Ingestion (18:14)
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Building an AI LangChain Chat Assistant- RetrievalQA chain (prompt augmentation) (13:16)
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Building an AI LangChain Chat Assistant- "Frontend" with Streamlit (UI) (17:08)
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Building an AI LangChain Chat Assistant- Memory & ConversationalRetrievalChain (11:42)
LangChain Theory
Prompt Engineering Theory
Troubleshooting Section
