Introduction
ContextOps.AI Overview
ContextOps.AI builds upon Open WebUI to provide a refined and fully managed experience with the following key capabilities:
Multi-Model Support
- Users can seamlessly interact with a wide range of large language models (LLMs), including OpenAI (GPT-4, GPT-3.5), Mistral, LLaMA, Claude, and others via supported backends.
- Switching between models is straightforward and does not require technical setup.
Multi-Modal Interface
- Beyond text, ContextOps.AI supports image inputs, enabling visual question answering and document understanding (where supported by the selected model).
Multi-User & Role-Based Access
- Workspaces support multiple users with role-based permissions, allowing teams to collaborate securely.
- Administrators can manage access, assign roles, and oversee workspace activity.
Agent Customization
- Agents can be configured with personalized behavior through system prompts, tool integrations, and retrieval settings.
- This allows users to design tailored assistants for specific use cases such as legal research, coding help, or knowledge discovery.
Memory and Chat History
- ContextOps.AI maintains a structured memory for each agent, allowing users to resume previous conversations or review prior interactions.
- Chat history is searchable and categorized per workspace or project.
Document Upload and RAG Integration
- Users can upload documents (e.g., PDF, DOCX, TXT) and integrate them directly into agents via Retrieval-Augmented Generation (RAG).
- Uploaded content is automatically indexed and used by the system to enhance response accuracy and contextual depth.
Additional Features
- Agent Workflows: Build and customize AI workflows.
- Tool Integrations: Integrate external APIs and functions.
- RAG Pipeline Support: Attach your own datasets and indexes.
- Vector Search: Plug in your vector DB and embeddings.
- Multi-role Access: Support for end users, developers, and admins.
Accessing the Platform
- Detailed instructions on accessing the platform are provided in subsequent sections.