Cerno-Insight and rag-engine
These are direct competitors—both are standalone RAG systems offering nearly identical functionality (document upload, semantic+BM25 hybrid search, citation-backed answers) with no technical dependencies or specialization differences that would warrant using them together.
About Cerno-Insight
Cerno-AI/Cerno-Insight
High-performance RAG system for intelligent document Q&A with hybrid retrieval, GPU acceleration, and citation-backed answers. Upload docs, ask questions, get precise responses.
Implements intelligent document triage with four specialized processing modes (Direct, RAG Pipeline, Vision, Raw Text) that automatically route queries based on document size and type for optimal latency. Features hybrid retrieval combining BM25 keyword search with GPU-accelerated FAISS vector similarity, reciprocal rank fusion, and CrossEncoder reranking to surface the most relevant chunks. Built on FastAPI with async processing, supports multi-format ingestion (PDF, DOCX, images with OCR, URLs), and integrates Google Gemini LLMs with fallback strategies for robustness.
About rag-engine
alrod-dev/rag-engine
Document Intelligence RAG System — Upload documents, query with natural language, get answers with source citations. Hybrid search (semantic + BM25).
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