4 Building a research summarization engine
This chapter covers
- Explaining what a research summarization engine is.
- Organizing core functionality, such as web searching and scraping functions.
- Using prompt engineering for creating web searches and summarizing results.
- Structuring the process into individual LangChain chains.
- Integrating various sub-chains into a comprehensive main chain.
- Applying advanced LCEL features for parallel processing.
Building on the content summarization techniques from chapter 3, this chapter will guide you through creating a research summarization engine. This LLM application will process user queries, perform web searches, and compile a comprehensive summary of the findings. We'll develop this project step by step, starting with the basics and gradually increasing in complexity. Along the way, you will deepen your knowledge of LangChain as I introduce creating LLM chains with LangChain Expression Language (LCEL).