Our Process and Forget RAG system combines powerful features with privacy-first design, ensuring sensitive data never persists beyond its use.
Store multiple documents in a single API call with our efficient batch processing for vector database integration, maintaining the process and forget approach.
Extract knowledge from documents without storing originals - data is processed, vectorized, and immediately discarded for maximum privacy.
Access insights from multiple sources without persistent storage of sensitive source content, protecting confidential information.
Choose between Pinecone or Supabase pgvector as your vector database backend, with the same consistent API interface.
User-provided API keys for OpenAI, Pinecone, Supabase and other services with each request - no server-side credential storage.
Query custom indexes without mandatory credentials for unused services, making the API more adaptable to your needs.
Process documents with immediate deletion after vector storage to enhance privacy with our 'process and forget' approach.
Workspace-based credential system with JWT authentication for customizable security and flexible integration.
Clean, consistent API design with proper error handling and clear responses.
Dynamic metadata extraction system that can handle any custom index without hardcoded index types.
Query multiple indexes with a single request, with control over result count from each source.
Our approach provides significant advantages for organizations that need to maintain privacy while leveraging the power of AI.
Original documents are immediately deleted after processing, ensuring sensitive information is never stored longer than necessary.
Query custom indexes with your own credentials, only providing what's needed for each request without mandatory service dependencies.
By not storing sensitive data, your organization reduces the risk associated with data breaches while still enabling AI-enhanced experiences.