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Langchain Go Vs Python

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Description

Benchmarking RAG and agentic systems in Go vs Python

Installation

This entry records only its repository, not the path inside it, so there is no exact command to give. Open the source below and copy the folder into ~/.claude/skills/, or the file into ~/.claude/agents/.

README

LangChain in Go vs. LangChain in Python

[![Go Version](https://img.shields.io/badge/Go-1.22+-00ADD8.svg)](https://go.dev/) [![Python Version](https://img.shields.io/badge/Python-3.9+-3776AB.svg)](https://www.python.org/) [![License](https://img.shields.io/badge/License-MIT-green.svg)](https://opensource.org/licenses/MIT) [![Tests](https://img.shields.io/badge/Tests-10%20Scenarios-blueviolet.svg)](#-summary-of-results)

A comprehensive suite of benchmarks to compare the performance, resource efficiency, and resiliency of **LangChainGo** against the original **LangChain Python** implementation under realistic, production-grade workloads.


This repository moves beyond simple "hello world" examples to provide quantitative data on how each framework performs on tasks that matter for building scalable, robust, and cost-effective AI applications. All tests are designed to run against a local **Ollama** server to isolate the performance of the client-side framework.

Key Metrics Measured

  • πŸš€ Throughput (ops/sec)
  • ⏱️ Latency (Average, P95, P99)
  • πŸ’» CPU Usage (User Time)
  • 🧠 Memory Usage (RSS & Allocation Churn)
  • πŸ—‘οΈ Garbage Collection Pauses (Go)
  • πŸ’₯ Error Handling & Resiliency

Table of Contents