External & Advanced Integrations
1
Implement Content Safety / Guardrail - 1st Phase
GLChat Content Safety is a configurable system of input and output controls designed to ensure chatbot interactions remain safe, compliant, ethical, and aligned with organizational policies
3
On Premise Installation
Deploy GLChat securely within your own infrastructure
4
Integration with Model Context Protocol (MCP)
Capability to allow GLChat to be integrated using MCP technology, whether GLChat as MCP Server or GLChat as MCP Client
5
Integration with Agent to Agent (A2A)
Capability to allow GLChat to connect with various AI Agent platform
6
Integration with WhatsApp
Seamlessly connect with GLChat on WhatsApp for instant support and engaging conversations, right at your fingertips
7
Bind GLChat Username (Email) and Phone Number
Allows the system to associate a user’s email (used in GLChat web interface) with their phone number (used in WhatsApp or other channels).
8
Authentication and Register user Whatsapp number in GLChat Whatsapp
Enables user authentication and phone number registration when accessing GLChat via WhatsApp. Upon first interaction, users are verified using a one-time password (OTP) mechanism.
Once authenticated, their WhatsApp number is registered and linked to their user profile in GLChat, enabling secure, personalized experiences and access control across sessions.
9
Browser Use (via Agent)
Adds a “Browser” capability that lets GLChat fetch and summarize web content on-the-fly, extending knowledge beyond static knowledge bases.
10
Allows users to access and interact with GLChat without requiring authentication or account registration. In Guest Mode, users can immediately start chatting while being restricted to predefined configurations set by the admin.
11
NLWeb
Enhance experience in GLChat by integrating with NLWeb, bridging advanced AI capabilities with intuitive web interactions, ask questions directly to the web in natural language
12
Enhance interaction in GLChat by integrating with the Code Interpreter, turning complex queries into actionable insights effortlessly, run code and analyze data in real time
13
Adds structured relationships between entities to improve GLChat’s understanding, retrieval accuracy, and contextual reasoning. Lays the groundwork for smarter, more connected responses.
14
PII Handling in Embedding process
Introduces an automated redaction layer that detects and masks personally identifiable information before generating embeddings, ensuring data privacy compliance
15
Enhances GLChat's functionality by integrating advanced real-time interaction capabilities through the use of shared microphone and video features. This update allows users to engage in seamless live conversations and video communications, leading to more dynamic and interactive exchanges. This enhancement significantly elevates the responsiveness and engagement level in conversations on the platform.
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