With Klu, you can easily build, launch, and improve your Generative AI applications.
How to use
Use AI with your favorite LLMs, like Claude, GPT-4, Llama 2, and others, integrating smoothly with your data from databases, files, or websites. You can create your best prompts, track usage, and fine-tune models with just one click to boost their performance.
Useful cases
Get deeper insights from customer feedback. You can also engage in generative or analytical activities, develop chat and coaching interactions, and formulate new machine learning strategies.
Core features
You can create and refine GPT-4 applications, quickly prototype with Klu Studio, and integrate with CRM, databases, knowledge bases, and ticketing platforms. Enjoy dynamic and generative prompt creation, along with context-aware GenAI chat that includes memory and sessions. Seamlessly link multiple actions, utilize retrieval-enhanced generations, and work within an interactive design environment. Connect to SQL, Snowflake, Elasticache, and Redis, and integrate other CRM, knowledge base, and ticketing systems. Deploy with a single click, and use an advanced data engine to scale Generative AI. Monitor usage, costs, and performance metrics, and incorporate context documents through APIs or the UI, complete with context metadata filtering. Gain insights from real-world user behavior and feedback, using sophisticated filters and import/export capabilities, and collect practical insights from actual usage. Fine-tune GPT-4 and other models with your data, and develop using Klu's Python, TypeScript, and React SDKs. Benefit from contextual Copilot assistance, produce dynamic content referencing documents, and craft chat experiences that truly reflect your brand’s voice. You can also offer on-demand coaching, condense large documents, quickly assess and qualify leads, generate content using dynamic prompts, analyze user feedback and sentiment, and extract, clean, and prepare data for use.
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