Spaces for Collaboration
ClairvoyAI introduces Spaces, a collaborative feature that enables users to organize, share, and analyze information within dedicated environments. These workspaces are designed to facilitate teamwork, enhance productivity, and support real-time collaboration while maintaining robust access control and data security.
Architecture of Spaces
Spaces operate as modular, cloud-based environments, allowing users to integrate and manage their data collaboratively. The design includes:
Distributed Storage
Utilizes object storage systems (e.g., Amazon S3, Azure Blob Storage) for scalability.
Files are partitioned and indexed for efficient retrieval and processing.
Access Control Mechanism
Implements role-based access control (RBAC) to manage permissions.
Supports granular roles, such as Owner, Editor, and Viewer.
Event-Driven Architecture
Real-time updates within Spaces are powered by event-driven protocols using WebSockets or long-polling techniques.
Core Features of Spaces
File Upload and Processing
Users can upload diverse file formats, including PDFs, Word documents, spreadsheets, and JSON data.
Files are preprocessed for:
Text extraction using OCR for scanned documents.
Metadata generation, such as file type, creation date, and content summary.
Indexed content is stored in an embedding-based search engine (e.g., Elasticsearch or Pinecone) for contextual queries.
Multi-User Collaboration
Real-time collaboration allows multiple users to interact with the same Space.
Updates, annotations, and query results are synchronized across all participants.
Contextual Querying
Queries performed within a Space are scoped to its content.
Example: A Space containing research papers on renewable energy can filter queries like "recent advancements in solar panels" to relevant documents within the Space.
Annotations and Notes
Users can highlight text, add comments, and attach notes to specific documents.
Annotations are indexed and searchable, enhancing traceability.
Activity Logs
Every action in a Space is logged, providing an auditable trail.
Logs include metadata like the user, timestamp, and type of activity (e.g., file upload, query execution).
Backend Workflow
Space Creation
A unique identifier (UUID) is assigned to each Space, along with metadata like owner information, creation date, and access permissions.
A distributed document store is initialized to manage files and metadata.
File Processing Pipeline
Uploaded files are processed through a pipeline comprising:
File Ingestion: Raw files are uploaded and temporarily cached.
Data Extraction: Text, tables, and images are parsed using libraries like Apache Tika or Tesseract for OCR.
Indexing: Extracted data is embedded and indexed for semantic retrieval.
Collaborative Query Execution
Queries initiated within a Space are processed by a dedicated instance of the ClairvoyAI retrieval engine.
Results are scoped to the Space’s indexed content and returned to all active participants.
Synchronization Engine
Changes in a Space are broadcasted in real-time using a message broker like RabbitMQ or Kafka.
WebSocket connections ensure instant updates for connected clients.
Access and Security
Role-Based Permissions
Owners can assign roles to collaborators, defining who can upload, edit, query, or view content.
Permissions are enforced at the API and database levels.
Data Encryption
Files and metadata are encrypted at rest using AES-256.
Data in transit is secured with TLS protocols.
Authentication and Authorization
Integrates with identity providers (e.g., OAuth2, SAML) for single sign-on (SSO) and multi-factor authentication (MFA).
Use Cases of Spaces
Research Teams
Enables teams to collaborate on large datasets or shared projects, such as scientific research or technical documentation.
Corporate Knowledge Management
Acts as a centralized repository for organizational knowledge, including manuals, policies, and reports.
Educational Collaboration
Supports educators and students in organizing course materials and conducting collaborative learning.
Legal Document Review
Allows legal teams to annotate, query, and analyze case files collectively.
Technical Benefits
Scalability
Designed to handle large file volumes and high query traffic using distributed storage and processing.
Modularity
Spaces operate as independent modules, allowing for seamless integration into larger systems or workflows.
Real-Time Interactivity
Low-latency updates ensure that collaborators can see changes as they happen, enhancing the user experience.
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