Knowledge Base

Knowledge Base Template โ€” Medical Clinic

Structured KB for clinic voice/WhatsApp agent. YAML/JSON.

20 FAQ schemas + procedures + insurance rules + emergency protocol. Ingestion-ready for Pinecone, Weaviate, LangChain.

๐Ÿ“‚ What's inside the download

  • ๐Ÿ“„ Clinic KB Template

โœจ What you get

  • โœ“Structured YAML + JSON schemas for direct ingestion
  • โœ“20โ€“30 FAQ templates calibrated for the industry
  • โœ“Document hierarchy + tagging system
  • โœ“Ready for Pinecone, Weaviate, LangChain, LlamaIndex, Supabase pgvector
  • โœ“Chunking + embedding recommendations
  • โœ“Example: 5 real entries filled in so you can see the pattern

๐Ÿ“– Sneak peek โ€” first page

Actual content from the file
=== KNOWLEDGE BASE TEMPLATE โ€” MEDICAL CLINIC ===
Structured Knowledge Base for Voice & WhatsApp Agents
Version 1.0 | Format: YAML + JSON | Ingestion-ready for Pinecone, Weaviate, LangChain, LlamaIndex

---
OVERVIEW
---

This kit delivers a production-grade knowledge base template for a medical clinic AI agent deployed across voice (Vapi, Retell AI, ElevenLabs) and messaging (GoHighLevel WhatsApp, Bolna, OmniDimension). It standardizes how clinic information โ€” FAQs, procedures, insurance rules, operating hours, doctor bios, and emergency escalation โ€” is chunked, embedded, and retrieved.

The schema is designed for:
- Semantic retrieval via vector database (Pinecone, Weaviate, Qdrant, pgvector)
- LangChain / LlamaIndex document loaders
- Low-latency voice inference (chunks sized for <800 token retrieval)
- Bilingual expansion (EN/ES/FR slots included)
- HIPAA-conscious content boundaries (no PHI storage in KB)

===

SYSTEM PROMPT
===

SYSTEM PROMPT:

You are {{agent_name}}, the AI front-desk assistant for {{clinic_name}}, a {{clinic_specialty}} clinic located at {{clinic_address}}. You speak with patients by {{channel}} (voice or WhatsApp). Your job is to answer questions, book or re

โ€ฆ full download is a formatted PDF with 3,000โ€“5,000 words ยท complete guide

๐ŸŽฏ Who this is for

  • โ†’Agent builders who need a KB scaffold, not a blank YAML
  • โ†’Companies onboarding their first RAG pipeline
  • โ†’Freelancers building client KBs and tired of starting from zero

โ“ Frequently asked

What format is this in? +

Structured plain text with YAML and JSON blocks clearly separated. Copy into your vector DB ingestion pipeline directly.

Which embedding model should I use? +

Recommendations included: OpenAI text-embedding-3-small for cost, Cohere embed-multilingual-v3 for Hindi content, BGE-large for self-hosted.

Can I add my own data on top? +

Yes โ€” the schema is designed to be extended. Add your products, policies, hours without changing the base structure.

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โ‚น349

Instant download. Lifetime access. No subscription.

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