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

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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

Тэги:

#python #machine_learning #artificial_intelligence #natural_language_processing #bert #nlp #Huggingface #semantic_search #similarity_search #vector_similarity_search #vector_search

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