Vulqan supports instant integration with all types of data sources. Data transformation and validation rules can be customized by use-case while enforcing central standards.
Vulqan measures data quality at the feed, record and database level. Errors can be seen and fixed in real-time with AI, rules or human-in-the-loop intervention.
Vulqan extracts knowledge in Excel spreadsheets and desktop files. Semantic information is automatically organized into logical data models.
Vulqan intelligently captures the objects and relationships in each dataset. This logical data model is stored in a knowledge graph that provides contextual information to LLMs.
Vulqan saves data in multiple stores: neo4j, Elastic and Cassandra. A query manager auto-directs queries to maximize accuracy and speed while minimizing cost.
Vulqan is LLM-agnostic and lets users connect to any major LLM by changing a simple setting. It provides configurable API endpoints for easy integration with analytics tools.
