opencx-labs/copilotArchived
Copilot
Copilot is a self-hosted customer support platform that uses large language models and vectorized knowledge bases to automate user assistance. The system consists of an embeddable AI chat widget for website integration, a containerized management dashboard, and a vector database knowledge base.
The platform includes an API orchestrator that processes structured API specifications, allowing language models to interact with external endpoints and operations. It manages specialized context for responses by indexing API definitions and documentation within a vector database.
The infrastructure covers containerized service orchestration for servers and background workers, asynchronous queue-based processing, and a administrative interface for monitoring real-time user interactions. The system also handles database schema migrations and knowledge indexing.
Features
- AI Support Automation - Automates customer support using large language models, vectorized knowledge, and an embeddable chat interface.
- Customer Support Platforms - Ships a comprehensive self-hosted platform for automating customer support using large language models and vectorized knowledge.
- Vector Knowledge Bases - Utilizes a vector knowledge base to store and retrieve document embeddings for AI-driven semantic search.
- Vector Storage - Employs specialized vector storage to index and retrieve contextual information for the support system.
- Cloud Suite Orchestrators - Orchestrates a complete suite of containerized services including servers, workers, dashboards, and databases.
- Containerized Service Orchestration - Manages a suite of backend workers and databases within isolated container environments for consistent deployment.
- Multi-Service Container Orchestration - Deploys a multi-service environment using isolated containers for the server, background workers, and database.
- LLM Orchestration - Implements an orchestrator that processes API specifications to automate complex interaction flows between LLMs and external endpoints.
- API Specification Contexts - Injects structured API definitions as context into the language model to enable automated interaction with external operations.
- Embeddable Chat Widgets - Ships an embeddable client-side chat component that integrates into external websites via a script.
- Support Agent Dashboards - Provides a centralized management dashboard for support agents to oversee user interactions.
- API Specification Importers - Provides tools to import and parse structured API specification files to inform the AI's understanding of system endpoints.
- Background Job Queues - Implements an asynchronous worker system to handle long-running computations without blocking the user interface.
- Agent Interaction Monitors - Allows administrators to observe and manage live interactions between users and the AI support assistant.
- AI Interaction Monitoring - Tracks and manages real-time interactions between users and the support assistant through a dedicated dashboard.
- Support Chat Widgets - Provides an embeddable interface that connects website visitors to an automated AI support assistant.
Star history
How this analysis was created: This summary and feature list are AI-generated from collected project material and can contain mistakes. Stars, license and language are imported from GitHub. Inclusion does not mean that we have tested or audited this project. Check the source documentation for any feature you depend on. Learn more on our About page.
