LangChain Expression Language (LCEL) Explained!

The LangChain Expression Language (LCEL) is an abstraction of some interesting Python concepts into a format that enables a "minimalist" code layer for building chains of LangChain components. LCEL comes with strong support for: 1. Superfast development of chains. 2. Advanced features such as streaming, async, parallel execution, and more. 3. Easy integration with LangSmith and LangServe. To understand LCEL we'll dive into its syntax, how it works under the hood, and a few examples of how it is used alongside RunnableParallel, RunnablePassthrough, and RunnableLambda objects. Article: https://www.pinecone.io/learn/series/langchain/langchain-expression-language/ 📌 Code: https://github.com/pinecone-io/examples/blob/master/learn/generation/langchain/handbook/11-langchain-expression-language.ipynb 🌲 Subscribe for Latest Articles and Videos: https://www.pinecone.io/newsletter-signup/ 👋🏼 AI Development: https://aurelio.ai 👾 Discord: https://discord.gg/c5QtDB9RAP Twitter: https://twitter.com/jamescalam LinkedIn: https://www.linkedin.com/in/jamescalam/ 00:00 LangChain Expression Language LCEL 01:06 Getting Started with LCEL 06:11 How LCEL Pipe Operator Works 12:21 Using LangChain Expression Language 14:16 LCEL Runnables 19:36 LCEL Runnable Lambdas 23:36 Pros and Cons of LCEL #ai #artificialintelligence #langchain #nlp #anthropic