
LyzrGPT
Lyzr is an enterprise-grade, low-code agent framework for building secure and private generative AI applications with pre-built RAG pipelines, multi-agent workflows, and seamless LLM integration capabilities.
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Product Information
Updated:Jan 16, 2026
What is LyzrGPT
Lyzr is an innovative agent framework that takes an 'agentic' approach to building generative AI applications. It provides a comprehensive platform for enterprises to develop and deploy AI-powered solutions like chatbots, knowledge search systems, data analysis tools, and automated workflows. The framework is designed to be highly configurable while maintaining enterprise-grade security, allowing organizations to run applications locally in their own cloud infrastructure with complete data privacy. Lyzr supports both frontier LLMs like OpenAI, Gemini, Claude, and open-source models like Llama, giving users flexibility in their AI implementations.
Key Features of LyzrGPT
Lyzr is an enterprise-grade agent framework for building secure and private generative AI applications. It offers a low-code/no-code platform with pre-built RAG pipelines, safe and responsible AI features, and supports multiple LLM integrations including OpenAI, Gemini, Claude and open-source models. The platform allows organizations to build chatbots, knowledge search, data analysis tools, and multi-agent workflow automation while ensuring 100% data privacy by running locally on their cloud infrastructure.
Pre-built RAG Pipelines: Comes with integrated RAG (Retrieval Augmented Generation) capabilities allowing quick deployment of knowledge-based AI applications
Safe & Responsible AI Architecture: Built-in safety features and responsible AI modules to prevent hallucinations and ensure appropriate agent behavior
Multi-LLM Support: Compatible with various LLM providers including OpenAI, Gemini, Claude, Amazon Bedrock, and open-source models
Private & Secure Deployment: Runs completely locally in air-gapped environment within customer's cloud VPC or on-premise systems ensuring data privacy
Use Cases of LyzrGPT
Customer Support Automation: Automate up to 90% of routine customer queries across chat, email, and voice channels with 24/7 AI-powered support
Banking Services: Handle customer support and queries in banking sector with secure, compliant AI agents that can automate routine operations
Academic Advisory: Provide student guidance and support through AI-powered advisory systems that can handle academic queries and assistance
Enterprise Workflow Automation: Automate complex business processes across sales, marketing, HR, and finance departments using customizable AI agents
Pros
Low-code/no-code platform making it accessible for both technical and non-technical users
Strong focus on security and privacy with local deployment options
Comprehensive features including pre-built agents and RAG pipelines
Cons
Additional AWS infrastructure costs may apply
Requires active Lyzr AI account with credentials
How to Use LyzrGPT
Install Lyzr Library: Install the Lyzr SDK/library in your development environment
Authentication: Create a Lyzr Agent Studio account and authenticate using your credentials with 'lk auth' command
Create Chatbot Configuration: Send a POST request to /create/config endpoint with configuration parameters including embed_model, llm_params, vector_store_params, and chat_engine_params
Import Data: Upload your knowledge base by sending POST requests to appropriate endpoints: /create/from-pdf/{config_id} for PDFs or /create/from-docx/{config_id} for DOCX files
Initialize Chatbot: After configuration and data import, you'll receive a chatbot_id that can be used for interactions
Interact with Chatbot: Send POST requests to /chat/{chatbot_id} endpoint with your messages to interact with the chatbot
Monitor and Manage: Use Lyzr's AI Management System (AIMS) to monitor event logs and manage your chatbot agents
Optional: Deploy: Deploy your chatbot either on SaaS or your private VPC with security controls in place
LyzrGPT FAQs
Lyzr runs with both frontier LLMs like OpenAI, Gemini, Claude, Amazon Bedrock, and open-source models like Kimi, Qwenn, Llama.











