Manage LLMs, ingest documents, and get context-aware answers — with per-KB tools and enterprise controls.
Trusted by engineering teams at
See how IngestIQ transforms your raw documents into intelligent, actionable knowledge
Drag-and-drop PDFs, DOCX, CSV, JSON and more. Automatic metadata extraction and chunking.
Generate high-dimensional embeddings optimized for semantic search across any vector DB.
Find relevant chunks instantly with hybrid search combining vector and keyword matching.
Converse with your documents using natural language. Get answers with direct citations.
Deploy knowledgebase-scoped tools that extend AI capabilities beyond basic Q&A.
Track every interaction with full audit trails and enterprise-grade compliance controls.
Experience the power of RAG with your own questions
Customers can request refunds within 30 days of purchase. Refunds are processed within 5-7 business days once approved by the finance team.
Built for scale, security, and seamless team collaboration
Connect pgvector, Milvus, Qdrant, or any vector database with zero migration overhead.
SOC 2 Type II compliant with role-based access control and complete audit trails.
Shared knowledgebases with granular permissions and real-time collaboration features.
RESTful APIs with OpenAPI specs for seamless integration into existing workflows.
Track costs, performance, and adoption across teams with detailed insights.