VectorSeek is a privacy-focused AI-powered search platform designed to help organizations search across their private documents, websites, and knowledge bases, delivering direct and relevant answers instead of long lists of documents. It uses advanced natural language processing and vector-based semantic search to understand user queries deeply and fetch precise results from indexed content. The platform supports secure data handling by allowing users to keep their data private, either using internal local large language models (LLMs) or public ones with control options. It integrates easily into existing environments, with support for WordPress sites, PDFs, custom post types, and multiple domains or subdomains, making knowledge retrieval fast, intelligent, and secure.
Key Features:
Private vector-based AI semantic search with zero data leakage to external LLMs unless chosen.
Automatic indexing of content including WordPress pages, posts, PDFs, and custom data types.
Supports integration via WordPress plugin, JavaScript, and API with customizable embedding options.
Real-time analytics of search queries to understand user intent and improve content value.
Use Cases:
Education: Creates searchable knowledge hubs from thousands of lesson PDFs for quick Q&A.
Legal: Retrieving specific legal precedents, contracts, and memo excerpts instantly for lawyers.
Public Sector: Enables residents to ask natural language questions about permits, laws, or records directly on public websites.
