Generative AI
Prompt Engineering
Comprehensive prompt enrichment, management, and serving solutions for high-quality and reliable LLM responses
Construct better prompts with contextual data
Tecton solves the hardest challenge of prompt engineering: dynamic context construction. Extract powerful insights from historical data and customer events as they unfold in real time and pass those as signals to LLMs, perfectly tailoring the interaction with the end user and improving the accuracy of generative AI applications.
Version-control prompts throughout their lifecycle
Keep your prompts organized and traceable with Tecton’s robust lifecycle management system. Easily version your prompts, track changes over time, and maintain a clear history of your prompt engineering efforts. Tecton provides easy collaboration, straightforward rollbacks, and the ability to A/B test different prompt versions to optimize your generative AI model’s performance.
Serve prompts efficiently in production environments
Deploy carefully crafted prompts with confidence using Tecton’s prompt serving capabilities, ensuring that the prompts you use online in production and offline for evaluation purposes come from the same source of truth.
Evaluate accurately with prompt time-travel
Refine prompts with precision using Tecton’s time-travel feature for prompt testing. This powerful testing capability ensures that your prompts remain effective and relevant, even as your data and use cases evolve over time. By evaluating how prompts perform across different time periods and data states, you can:
- Identify issues like hallucination proactively
- Ensure prompt effectiveness over time
- Adapt to evolving data and use cases
Integrate seamlessly with your existing AI pipelines
Tecton is designed to work harmoniously with your current AI and data infrastructure. Easily incorporate prompt management into your existing workflows, leveraging Tecton’s feature store and real-time serving capabilities to create a cohesive and unified AI application development environment, from data preparation to prompt delivery and beyond.
