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SupaLaunch
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LangChain Boilerplates
Explore 1 boilerplate in this collection. Find the perfect starting point for your next project.
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Why Choose LangChain Boilerplates?
LangChain provides a comprehensive framework architecture with built-in routing, middleware, and ORM integration tailored for SaaS development. Our LangChain boilerplates implement the framework's conventions—from its MVC/API structure to its plugin ecosystem—giving you a production-ready foundation that leverages LangChain's specific strengths in web application development.
LangChain boilerplates are structured around the framework's architecture patterns and conventions. They integrate LangChain's native ORM/query builder with optimized models and relationships, implement the framework's middleware pipeline for authentication and validation, and use framework-specific packages for caching, queues, and background jobs. The routing structure follows LangChain's conventions, ensuring predictable code organization as your SaaS scales.
Key Benefits
- LangChain's native routing and middleware
- LangChain ORM with migrations and seeders
- LangChain-optimized deployment configs
- LangChain plugin ecosystem integration
- LangChain conventions and project structure
- LangChain-specific caching and queues
- LangChain CLI tools and generators
- LangChain community packages included
Browse our collection of 1 LangChain boilerplate to find the perfect starting point for your next SaaS project. Each boilerplate has been carefully reviewed to ensure quality, security, and production-readiness.
Frequently Asked Questions
What LangChain-specific architecture patterns are implemented?
LangChain boilerplates leverage the framework's native architecture patterns including its routing system, middleware pipeline, and controller/handler structure. They implement LangChain's conventions for separating concerns, dependency injection, and service layer patterns. The codebase follows LangChain's best practices for organizing models, views/components, and business logic to ensure maintainability as your application grows.
How does LangChain's ORM/database layer work in these boilerplates?
LangChain boilerplates use the framework's native ORM or query builder (Prisma, Eloquent, Active Record, SQLAlchemy, etc.) with pre-configured models for users, subscriptions, teams, and common SaaS entities. They include optimized queries, relationships, migrations, seeders, and database connection pooling. The implementation leverages LangChain's specific features like eager loading, query scopes, and transaction handling for performance.
What deployment strategies work best with LangChain?
LangChain boilerplates are optimized for the framework's ideal deployment platforms. This includes containerization with Docker, serverless configurations (if supported), CDN integration, and environment-specific builds. They include LangChain-specific deployment configurations for platforms like Vercel (Next.js), Heroku (Rails), Platform.sh (Laravel), or cloud providers with proper build steps, environment variables, and scaling configurations.
What LangChain plugins and middleware are pre-configured?
LangChain boilerplates include essential framework-specific middleware and plugins for authentication (Passport, NextAuth, Devise, etc.), rate limiting, CORS, session management, and request validation. They leverage LangChain's ecosystem with popular packages for tasks like job queuing, caching, email handling, and file uploads—all configured with production-ready settings and proper error handling.
How are LangChain version updates handled?
LangChain boilerplates target the latest stable framework version and follow the framework's upgrade guidelines. They're structured to minimize breaking changes when updating LangChain versions—using stable APIs, avoiding deprecated features, and documenting any version-specific dependencies. Most include update guides for migrating to newer LangChain versions while maintaining your custom features.