RAGGENIE

What is RAGGENIE?

RAGGENIE is a low-code platform that empowers users to build custom Retrieval-Augmented Generation (RAG) based GenAI copilots in minutes. By leveraging your own data sources, RAGGENIE enables the creation of intelligent assistants that can answer questions, generate insights, and automate workflows without requiring extensive coding expertise. The platform integrates seamlessly with various data repositories, including databases, documents, APIs, and cloud storage, allowing you to connect your existing knowledge base effortlessly.

Key features include a drag-and-drop interface for designing conversation flows, pre-built connectors for popular data sources, and a built-in vector database for efficient semantic search. RAGGENIE supports multiple large language models (LLMs) and offers customization options to fine-tune responses based on your specific domain. The platform also provides analytics to monitor copilot performance and user interactions.

Benefits of using RAGGENIE include rapid deployment—going from concept to a functional copilot in under an hour—and reduced development costs by eliminating the need for a dedicated AI team. It enhances productivity by providing instant access to organizational knowledge, improves customer support with 24/7 automated assistance, and ensures data privacy by keeping sensitive information within your controlled environment.

Use cases range from internal knowledge bases for employee onboarding and IT support to external-facing customer service bots for e-commerce and healthcare. Technical details: RAGGENIE uses a low-code architecture, meaning you can define intents, entities, and response templates through a visual editor. The platform handles document chunking, embedding generation, and retrieval logic automatically. It supports both cloud and on-premises deployment options, with scalability to handle thousands of concurrent queries. Security features include role-based access control, encryption at rest and in transit, and audit logging.

RAGGENIE is currently inviting early users to test and develop tools on top of the platform, with limited seats available. This is an opportunity to shape the product and receive dedicated support from the development team.

Use Cases

Key Features

drag and drop interface pre built connectors built in vector database multi LLM support response customization performance analytics rapid deployment low code platform

Who is it for?

business analysts, product managers, knowledge workers, customer support teams, domain experts, non, technical users

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