The data layer for AI
From vector storage to complete RAG pipelines, everything you need for AI memory.
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Vector Database
Semantic search at scale
High-performance vector storage for embeddings. Semantic search, similarity matching, and hybrid queries.
- Billion-scale vectors
- Sub-10ms queries
- Hybrid search
Knowledge Base
Structured AI memory
Organize and retrieve knowledge for your AI. Automatic chunking, indexing, and retrieval.
- Auto-chunking
- Semantic indexing
- Version control
File Processing
PDFs, images, audio
Extract, process, and index content from any file type. Built-in OCR, transcription, and parsing.
- PDF extraction
- Image OCR
- Audio transcription
RAG Pipeline
End-to-end retrieval
Complete retrieval-augmented generation pipeline. Ingest, chunk, embed, retrieve, and generate.
- Smart chunking
- Re-ranking
- Citation tracking
1B+
Vectors Supported
<10ms
Query Latency
50+
File Formats
99.99%
Uptime SLA