Home/AI Agents/langchainrb

langchainrb

patterns-ai-core/langchainrb

Build LLM-powered applications in Ruby

GitHub Website

GraphCanon updated Sep 20, 2026 · GitHub synced Sep 20, 2026

38views this month

2.0k stars264 forksLast push Sep 9, 2026 Ruby MIT

Decision brief

langchainrb enables Ruby developers to integrate AI applications and vector search capabilities without leaving the language ecosystem.

Good fit when

You are developing an application in Ruby and require native integration with large language models for conversational interfaces or content generation.
Your project is based on Ruby and benefits from vector search capabilities that can be seamlessly integrated into the current codebase.

Avoid when

If your team primarily works with Python, you might find more robust ecosystems in libraries like LangChain (Python equivalent) which have larger communities and broader feature support.
For projects requiring real-time performance optimizations for vector searches that cannot be achieved within the Ruby environment's constraints.

Observed Jul 15, 2026 · Source: enrich:decision_facts

langchainrb alternatives Trust report

Verify the decision

Maintenance and security

Full trust report

Maintenance: Active (10d since push); As of Sep 20, 2026
Provenance: Not a fork · Organization account; As of Sep 20, 2026
Security (OSV): No lockfile; As of Jul 11, 2026

Public GitHub metadata and optional OSV scans. Signals, not a guarantee. Trust methodology.

Install

gem install langchainrb

RubyGems

Similar tools

Same-category neighbours. No typed graph edges are catalogued for this tool yet.

Langchain-Chatchat

Local knowledge-based LLM RAG and Agent app with Langchain

39k★

agents-towards-production

End-to-end, code-first tutorials for building production-grade GenAI agents

21k★

langchainjs

The agent engineering platform

18k★

Evidence and technical details

Sourced facts, taxonomy, compatibility claims, README excerpt, and machine-readable endpoints.

Overview

A repository for developing AI agents and integrating vector search capabilities within Ruby applications.

Capability facts

Languages: ruby
Source: github.language · Sep 20, 2026

README

Installation Install the gem and add to the application's Gemfile by executing: bundle add langchainrb If bundler is not being used to manage dependencies, install the gem by executing: gem install langchainrb Additional gems may be required. They're not included by default so yo...

For agents

This page has a .md twin and JSON over the API.

/tools/patterns-ai-core-langchainrb.md GET /api/graphcanon/tools/patterns-ai-core-langchainrb GET /api/graphcanon/graph?tool=patterns-ai-core-langchainrb