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Accelerating GenAI Development with ragbits

deepsense.ai

ragbits enables developers to bypass repetitive tasks, jumpstarting projects with pre-built components.

Meet our client

Client:

deepsense.ai

Industry:

Software & Technology

Market:

Europe

Technology:

LLM, MLOps

Client’s Challenge

Building GenAI applications often requires significant effort to implement features like document search, response caching, and flow control while ensuring observability and safety. Our clients seek streamlined, flexible, and scalable solutions to accelerate development across their GenAI ecosystems.

Our Solution

We introduced ragbits, a modular stack of LLM building blocks. It includes pre-built modules for key functionalities such as Document Search, Conversations, Flow Controls, Structured Querying, Response Caching, and Observability with Guardrails. Developer-friendly features like CLI tools, dev utilities, and integrations with popular platforms ensure flexibility.

Client’s Benefits

ragbits enables developers to bypass repetitive tasks, jumpstarting projects with pre-built components. Its modular design integrates seamlessly into existing systems, while open-source updates ensure long-term value.

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