Put yourself on the bleeding edge of AI by harnessing the power of LangChain Expression Language to build a chatbot that has deep knowledge of a provided document.
- Splitting with a LangChain textSplitter tool
- Vectorising text chunks
- Using embeddings models
- Supabase vector store
- Templates with input_variables
- Prompts from templates
- LangChain Expression Language
- Basic chains with the .Pipe() method
- Retrieval from a vector store
- Complex chains with RunnableSequence()
- The StringOutputParser() class
- Troubleshooting performance issues
