
Introduction
Design, deploy, and optimize Generative AI apps with Klu
Key Features
Build, evaluate, and optimize GPT-4 Apps
Prototype in minutes with Klu Studio
Connect to CRM, Database, Knowledge Base, and Ticketing systems
Dynamic, generative prompts
GenAI chat with context, memory, sessions
Connect multiple Actions together
Retrieval-augmented generations
Interactive design environment
Connect SQL, Snowflake, Elasticache, Redis
CRM, Knowledge Base, and Ticketing integrations
Publish 1-click deploy
Advanced Data Engine for scaling Generative AI
Observe usage, cost, and performance insights
Add context documents via APIs or UI
Filtering with Context Metadata
Real-world user behavior and feedback
Advanced filters, import/export
Gather real-world learnings
Fine-tune GPT-4 and more with your data
Build with Klu Python, TypeScript, and React SDKs
Copilot with Context
Generate dynamic content with document reference
Create chat experiences with your brand voice
Create on-demand coaching
Summarize large documents
Quickly qualify leads
Create content with dynamic prompts
Analyze user feedback and sentiment
Extract, clean, and transform data
Frequently Asked Questions
What is Klu?
How to use Klu?
What LLM providers can I use with Klu?
What are the core features of Klu?
What are the pricing plans for Klu?
What use cases can be implemented with Klu?
What SDKs are available for building with Klu?
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Use Cases
- Generative or analytical actions
- Prototype new ML policies
- Build conversational chat and coaching experiences
- Better understand customer feedback
How to Use
Build with AI using your preferred LLMs – Claude, GPT-4, Llama 2, and more – with seamless integration with your data located in databases, files, or sites. Develop your best prompts, evaluate usage, and 1-click fine-tune models to improve performance.