Strict Document Grounding • Source-Backed Retrieval

Ground Truth Knowledge RAG

Upload your clinic PDFs, treatment price lists, operating hours, and doctor bios. Our Retrieval-Augmented Generation (RAG) anchors your Voice AI agent directly to your uploaded clinic documents.

Index Your First Document Request RAG Benchmark

Vector Search Pipeline

Indexed Knowledge Documents & Vector Embeddings

pgvector Chunking Active (Cosine Similarity 0.94)

PDF

Aromatic_Dental_Fee_Schedule_2026.pdf

142 Chunks Indexed • 1.2 MB

“Root canal treatment ranges from ₹4,500 to ₹7,500 based on tooth position. Crown fitting is scheduled on Day 5.”

PDF

Clinic_Doctor_Schedules_& Protocols.pdf

88 Chunks Indexed • 850 KB

“Dr. Ananya Sharma operates Tuesday & Thursday 2PM to 7PM at Indiranagar branch only.”

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Context-Bound Guardrails: If a caller asks a question not contained within your uploaded knowledge base (e.g., non-clinic procedures), the AI politely escalates the inquiry to your staff rather than guessing.

Why Ground Truth RAG Matters for Clinics

Keep every response anchored to your approved clinic documents with transparent source citations and context-bound guardrails.

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Instant Document Indexing

Drag and drop new treatment prices or clinic policy PDFs. Vector embeddings generate in under 5 seconds, updating your AI agent immediately.

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Exact Citation Verification

Every AI response logs the exact page, paragraph, and confidence score in your dashboard transcript so staff can audit answers anytime.

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Tenant Isolation & Zero Training

Your uploaded PDFs are stored in encrypted vector clusters isolated by PostgreSQL Row-Level Security. We NEVER use your clinic data to train public models.