Inductor is a new a developer tool that enables teams to ship high-quality LLM-powered functionality far more easily and quickly, with a fantastic developer experience for systematically iterating, evaluating, monitoring, and collaborating.
We’re thrilled to launch Inductor’s first open-source LLM app starter template!
To facilitate rapid prototyping and make it easy to get started with a systematic, rapid development process for taking an LLM app from prototype to production, each LLM app starter template includes:
- Application scaffolding
- Out-of-the-box playground UI for rapid prototyping
- Test suite scaffolding for easy evaluation-driven development
- Experimentation scaffolding for systematic improvement
- Production logging scaffolding for production observability
Check out our first template for systematically building for documentation Q&A use cases here.
We’d love your feedback! Reply to this post to request an open-source LLM app starter template for your LLM use case.
We’re excited to share our new open source Text-to-SQL LLM app starter template!
This open source template helps you create AI apps that translate natural language into SQL queries, providing seamless interaction with databases.
Key features include:
- Instant playground for prototyping
- Built-in testing and evaluation
- Automated experimentation & optimization
- Comprehensive logging
- Seamless SQL integration
- Integrated SQL query validation
- Schema-aware interactions
- Easy customization
Create your next LLM-powered app today! llm-toolkit/starter_templates/text_to_sql at main · inductor-hq/llm-toolkit · GitHub