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LangChain Benchmarks

This repository shows how we benchmark some of our more popular chains and agents. The benchmarks are organized by end-to-end use cases. They utilize LangSmith heavily.

We have several goals in open sourcing this:

  • Showing how we collect our benchmark datasets for each task
  • Showing what the benchmark datasets we use for each task is
  • Showing how we evaluate each task
  • Encouraging others to benchmark their solutions on these tasks (we are always looking for better ways of doing things!)

We currently include the following tasks:

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  • Python 100.0%