DAVE is an AI-powered framework designed for assisted analysis of document collections in knowledge-intensive domains. It enables domain experts to efficiently explore and analyze large text corpora through a combination of:
- Entity-driven faceted search for structured information retrieval
- Conversational AI interface for natural language queries
- Interactive entity annotation and correction for improved knowledge management
DAVE is particularly useful in domains such as law, healthcare, finance, and real estate, where factual data is closely tied to entities and their relationships.
- Search & Filter: Retrieve documents using keyword-based and entity-driven faceted search.
- Explore: Navigate documents based on extracted entities and metadata.
- Conversational AI: Ask natural language questions and receive relevant document-based answers.
- Knowledge Consolidation: Review and refine extracted annotations with user corrections.
- Human-in-the-loop (HITL) Approach: Users can continuously refine system-generated annotations.
Check out our demonstration video:
DAVE is open-source and released under the Apache-2.0 License.