Key Features
Patent Search Tools
Search and retrieve patent data with advanced filtering and analysis capabilities.
Data Ingestion
Process and organize patent datasets efficiently for comprehensive analysis.
Embedding Generation
Create vector representations for patent data using state-of-the-art models.
Agentic RAG
Advanced retrieval-augmented generation for intelligent patent insights.
Docker Support
Containerized deployment with Docker Compose for easy setup and scaling.
Information Collection
Collect and structure relevant patent data for analysis and prediction.
How It Works
1
Data Collection
Gather and ingest patent datasets
2
Embedding & RAG
Process data with vector embeddings
3
Innovation Analysis
Predict trends and innovations
4
Output Results
Generate actionable insights
Built With Modern Tech
Python
Docker
OpenSearch
RAG
AI/ML