Sigaia
Sigaia is an AI-powered knowledge management and intelligent document search platform that enables organizations to upload and manage large volumes of documents in multiple formats. Using Large Language Models (LLMs), vector search, and Retrieval-Augmented Generation (RAG), the platform analyzes the uploaded content and allows users to interact with it through natural language conversations. Instead of manually searching through files, users can ask questions and receive precise, context-aware answers with relevant information extracted from the document repository.
React JS
Shadcn UI
ASP .Net Core
Nest JS
Microservice
PostgreSQL
Sigaia – AI-Powered Enterprise Knowledge Management Platform
Sigaia is an AI-powered enterprise knowledge management platform that transforms large volumes of organizational data into an intelligent conversational assistant. Businesses can upload documents in multiple formats, and the platform automatically indexes, analyzes, and understands their content using Large Language Models (LLMs), Retrieval-Augmented Generation (RAG), vector embeddings, and semantic search. Users can simply chat with the AI to receive accurate, context-aware answers instead of manually searching through thousands of files.
AI Knowledge Chat
- Natural language conversation with enterprise documents
- Context-aware question answering
- Multi-turn conversational memory
- Accurate responses generated from uploaded knowledge
- AI-generated summaries and explanations
- Source-aware answers with document references
Document Management
- Bulk upload of thousands of documents
- Support for PDF, DOCX, PPTX, XLSX, TXT, CSV, images, and other file formats
- Automatic document parsing and indexing
- Folder and workspace organization
- Document version management
- Metadata and tagging support
- OCR support for scanned documents
Intelligent Search
- Semantic search instead of keyword matching
- Vector database for fast similarity search
- Contextual document retrieval
- Instant search across millions of records
- Smart filtering by category, department, tags, and dates
- Related document suggestions
AI Processing
- Large Language Model (LLM) integration
- Automatic chunking and embedding generation
- Knowledge indexing pipeline
- Prompt engineering optimization
- Context-aware response generation
- Multi-document reasoning
User & Workspace Management
- Multi-user collaboration
- Organization and workspace management
- Role-Based Access Control (RBAC)
- Team-based document sharing
- User permissions and access levels
- Private and shared knowledge bases
Analytics & Monitoring
- AI conversation history
- Search analytics
- Frequently asked questions
- User activity logs
- Knowledge usage reports
- AI performance monitoring
Security
- Secure authentication and authorization
- Document-level access permissions
- Encrypted file storage
- Secure API access
- Audit logs
- Enterprise-grade data protection
Integrations
- REST APIs
- OpenAI and other LLM providers
- Cloud storage integration
- External enterprise systems
- Third-party authentication providers
- Email and notification services
Performance & Scalability
- High-performance vector search
- Scalable cloud architecture
- Background document processing
- Asynchronous indexing pipeline
- Fast response times for enterprise-scale datasets
- Optimized caching and resource management
Business Benefits
- Eliminate manual document searching
- Retrieve precise answers within seconds
- Improve employee productivity
- Accelerate knowledge discovery
- Centralize organizational knowledge
- Enable AI-powered decision making
- Reduce onboarding and training time
- Preserve institutional knowledge across teams
Technology Stack: React, Next.js, TypeScript, Node.js, NestJS, PostgreSQL, LangChain, OpenAI/LLMs, REST APIs, Docker, Cloud Storage, Git, and CI/CD.