A complete RAG platform built for accuracy, speed, and scale.
Create and manage document collections with intelligent indexing. Websites, PDFs, and more — auto-extracted and ready to query.
Vector similarity + BM25 keyword search fused with RRF for maximum recall and precision on every query.
Real-time token streaming with source citations, confidence scores, and automatic RTL/LTR direction detection.
Track query performance, user sessions, and system metrics. Full Langfuse integration for deep pipeline visibility.
Full control over chunking strategy, embedding models, retrieval parameters, and generation settings per knowledge base.
FastAPI backend, Qdrant vector DB, PostgreSQL storage. Kubernetes-native deployment with Helm charts for any scale.
Four steps from raw documents to intelligent answers.
URLs, PDFs, or any document — our scraper handles it with OCR support.
Content is chunked and embedded into Qdrant vector database for semantic search.
Queries hit both vector and BM25 indexes, fused with RRF for best results.
Context-grounded answers stream in real-time with citations and confidence scores.
Join teams using Inferen to unlock the knowledge in their documents.