zaidmukaddam/scira
Scira
Scira is an AI-powered search and synthesis engine that uses agentic research workflows to find and organize information from the web and academic sources. The system breaks complex queries into multi-step plans and generates grounded answers with inline citations for verification.
The platform distinguishes itself by executing Python code within isolated sandboxes to perform data analysis and create visual charts from retrieved data. It also implements retrieval-augmented generation to perform semantic searches across uploaded documents, including PDFs and CSV files, and integrates with cloud storage and third-party productivity suites for external knowledge retrieval.
The software covers a broad range of capabilities including real-time financial market analysis, multilingual text and image translation, and the retrieval of location and travel data. It manages multi-model routing across various AI providers and includes automated tools for periodic topic monitoring and scheduled search tasks.
The system is deployed using containerized images and includes integrated user identity management, session-based access control, and subscription billing.
Features
- Agentic Planning - Breaks complex queries into multi-step agentic plans to synthesize comprehensive answers from various sources.
- Research Agents - Employs autonomous systems to perform multi-step information gathering and synthesis across web and academic sources.
- Research Agents - Implements autonomous agents that break complex queries into multi-step plans for comprehensive research.
- AI-Powered Search - Uses machine learning to retrieve and synthesize information from the web and academic papers.
- AI Search Tools - Leverages AI to perform comprehensive web searches and synthesize grounded answers with citations.
- Citation and Attribution Systems - Links generated responses to original source materials using grounded web and document data for verification.
- Document Analysis - Analyzes uploaded PDFs and CSV files using semantic embeddings to answer specific questions.
- External Knowledge Integrators - Connects agents to third-party productivity suites and external databases for retrieval-augmented generation.
- Grounded Answer Generation - Generates AI responses supported by traceable inline citations for auditing and verification.
- Knowledge Retrieval Sources - Extracts specialized context from diverse platforms including GitHub, X, Reddit, and YouTube to inform agentic research.
- Semantic Search - Performs semantic searches across uploaded documents using embeddings and reranking to understand intent.
- Vector-Database-Backed Retrievals - Indexes document embeddings in a vector database to perform semantic similarity searches for augmented generation.
- Vector Indexing - Manages high-dimensional vector indexes to support semantic search and augmented generation.
- Python Execution Sandboxes - Executes Python scripts within isolated environments to perform data analysis and generate visual charts.
- AI Integration Frameworks - Integrates a standardized framework to route requests and manage streaming responses from multiple AI providers.
- Model Request Routing - Routes API requests to different AI model providers based on system configuration.
- LLM Provider Integrations - Manages configurations and authentication adapters for connecting to various external AI model families.
- Financial Market Analysis Platforms - Aggregates real-time stock charts, cryptocurrency rates, and prediction market data for financial research.
- Cloud Storage Integrations - Links with external storage services to search and access personal or professional documents.
- Topic Monitoring - Tracks specific subjects using scheduled research agents that deliver periodic updates via email.
- Sandboxed Execution - Executes Python code within isolated sandboxes to perform data analysis and generate visual charts.
- Cross-Source Querying - Executes queries across the open web, social media, and code repositories using specialized scrapers.
- Background Task Schedulers - Manages recurring research agents and system maintenance operations using a fixed background timetable.
- Task Scheduling - Triggers recurring web lookups by tracking the execution status and timing of scheduled search tasks.
- Route-Based Access Restrictions - Protects specific application paths by verifying session cookies and redirecting unauthenticated users to sign-in.
- User Authentication Systems - Secures account access through integrated user session management, email verification, and token expiration.
- AI-Enhanced Aggregation - AI-driven search engine for aggregating model results.
- AI Search Engines - AI search engine with multi-source integration and tools.
