Zero to Hero in LangChain: Build GenAI apps using LangChain


Be taught all options of LangChain & construct Generative AI purposes with Reminiscence, RAG, Instruments, Brokers and so forth. utilizing LangChain

What you’ll study

Uncover the core ideas of LangChain and its utility in constructing Generative AI fashions

Grasp the creation and use of Immediate Templates, together with chat immediate templates and few-shot immediate templates, to optimize AI interactions

Develop complicated chain buildings, similar to LLMChains and Sequential Chains, to boost the performance of AI-driven purposes

Implement dynamic execution flows utilizing LCEL-based Chains and Runnables, together with controlling execution movement and dynamic routing

Make the most of reminiscence in LangChain to construct superior conversational AI that may bear in mind and recall person interactions throughout periods

Create a Retrieval-Augmented Technology (RAG) utility, together with doc studying, chunking, embedding, and knowledge retrieval from a vector database

Design and combine customized instruments and brokers, together with memory-enabled brokers, into your LangChain purposes to increase their capabilities

Assemble a graphical person interface (GUI) to your Generative AI purposes utilizing Streamlit, enabling user-friendly interactions along with your AI fashions

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