Precision Retrieval Starts With Precision Ingestion.
SmartFAQs.ai is built on a structured pipeline that captures every meaningful fragment of your documents.
Docling Parsing
Extracts structure from PDFs, documents, tables, images, and transcripts with unmatched fidelity. Reading order, hierarchy, tables, figures, and metadata are preserved, even in difficult layouts.
Ambrosia Metadata Engine
Generates synthetic metadata such as summaries, FAQs, knowledge triples, analogies, and reasoning traces. This enriched layer improves retrieval, reduces hallucinations, and boosts interpretability.
Voyage Embeddings
High-performance embedding models encode documents with minimal drift and strong semantic resolution. Optimized specifically for legal, technical, and procedural content.
Evidence-Based Retrieval
All answers include citations and dynamic highlighting of source text. Users always know exactly where an answer came from, building trust in the system.
Smart Rehydration
Expands chunk context by automatically retrieving neighbor sections when needed. This prevents boundary errors and improves coherence in complex answers.
Reranking Engine
Reranks expanded context using VoyageAI’s reranker to ensure the most relevant passages are delivered to the LLM, dramatically improving precision.
Security and Privacy You Can Trust
Your documents remain private and encrypted; nothing is shared with external models for training. We prioritize data sovereignty and compliance.