Enables querying procurement documents (invoices, purchase orders, shipping orders, inventory reports) via semantic search, order ID lookups, gap analysis, and source excerpt retrieval.
Enables AI assistants to search through structured databases and unstructured content (documents, videos, files) using natural language queries with semantic understanding.
Enables ingestion and semantic search over text documents using PostgreSQL + pgvector and OpenAI-compatible embeddings, allowing any LLM agent to retrieve relevant chunks for grounded answers.