Langchain Cookbook Overview

This video discusses Cookbook for the LangChain Expression Language (LCEL), providing example code for various tasks. It covers the composition of Runnable components, the core interface of LCEL, to achieve different objectives. The content includes examples of combining prompts with Language Model (LLM), adding retrieval steps to prompts, stringing together multiple chains, querying a SQL database, incorporating agents, writing Python code with LCEL, routing by semantic similarity, adding memory to chains, implementing moderation, and managing prompt size through dynamic tool calls. If you're new to LCEL, the document suggests starting with the Prompt + LLM page for a foundational understanding.