Components of ZBrain

Knowledge base

ZBrain's knowledge base serves as a comprehensive data repository for creating LLM-based applications. You can upload documents in the knowledge base in diverse formats such as PDF, TXT, CSV, JSON, DOCX, PPTX, or XLSX. You can also import data from sources like Web URLs, Webhooks, Google Sheets, Google Slides, Google Docs, ElasticSearch, Notion, MongoDB, ServiceNow, Confluence, Jira, and more. This ensures comprehensive data connectivity and flexibility. The knowledge base provides your app with domain-specific information, enabling it to offer accurate and targeted responses.

App

ZBrain empowers users to create LLM-powered applications tailored to their specific needs, such as chatbots, content generation tools, customer support systems, question-answering tools, recommendation engines, and more. Users can personalize the app’s features, responses, and operations, configure its settings, customize appearances, test app performance, and navigate key analytics. Both public and private apps can be developed and seamlessly integrated into an organization's internal workflows and customer-facing systems.

Agents

ZBrain AI agents are intelligent, purpose-built systems designed to automate and optimize business processes across diverse functions. These agents leverage generative AI to handle various tasks such as data analysis, process automation and decision support. Seamlessly integrating with diverse data sources and your organization’s existing tools and systems, ZBrain AI agents reduce deployment effort and ensure compatibility for smooth and efficient operations. You can choose from prebuilt agents tailored to common use cases or build custom agents to address unique operational challenges. When building a custom agent, the Flow component allows you to design intricate logic workflows that define the agent’s decision paths and actions without requiring extensive coding expertise.

Prompts

Prompts are structured instructions that shape how large language models (LLMs) respond to user inputs, ensuring outputs align with specific tasks, goals, or business functions. ZBrain’s Prompt Manager streamlines the creation, organization, and integration of these prompts into LLM-based applications built on the platform. Prompts can incorporate variables, system instructions, conditional logic, and dynamic content to enable flexible, context-aware interactions.

Equipped with version control, real-time testing, and seamless integration within ZBrain apps, the Prompt Manager empowers teams to maintain consistent, high-quality AI responses. It offers granular control over model behavior, enhancing the reliability, precision, and performance of language model-driven solutions across the enterprise landscape.