Trainkore

Overview

Trainkore is a prompting and retrieval-augmented generation platform that helps teams automate how they write and refine AI prompts while keeping costs under control. It supports automatic prompt generation, so users can produce optimized instructions without starting from scratch, and makes it easy to switch between AI models to compare results and pricing. Built-in evaluation and observability tools track how prompts perform in real use, and a prompt playground offers a sandbox for experimentation. With integrations for frameworks such as LangChain and LlamaIndex, Trainkore helps teams ship reliable AI features faster while reducing spend on wasted tokens.

How to Use

Create automated prompt workflows by chaining together API calls and retrieval-augmented generation steps. Set up RAG connectors to your data sources, monitor execution costs, and optimize prompts for efficiency.

Core Features

Use Cases

1. 1 Trainkore's Use Cases
2. 2 Dynamically generate prompts for various use cases.
3. 3 Select the cost-optimized model for prompt execution.
4. 4 Debug prompts with detailed logs and metrics.

Frequently Asked Questions