LangChain

LangChain

1. Chain Management

   • Creating complex chains for multi-step processing (e.g., question-answering pipelines).

2. Agents and Task Decomposition

   • Developing agents that break down complex tasks into modular steps.

3. Memory in LangChain

   • Persistent and episodic memory types to manage conversational context.

4. Tool Integration

   • Adding custom tools to LangChain (e.g., calculator, external APIs).

5. Data Wrangling in LangChain

   • Building data preprocessing pipelines within the LangChain framework.

6. Advanced Prompting Techniques

   • Dynamic and adaptive prompting based on chain inputs.

7. Evaluating Chain Performance

   • Metrics and debugging methods for chain components and end-to-end flows.