Knowledge Base

Knowledge Base Template โ€” SaaS Product

Features catalog, pricing, integrations, objection bank, competitor comparison.

SaaS knowledge base structure for customer support agent. Deploy-ready.

๐Ÿ“‚ What's inside the download

  • ๐Ÿ“„ SaaS 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
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AI AGENT KIT โ€” KNOWLEDGE BASE SAAS PRODUCT
Sales & Support Concierge Agent โ€” Ready-to-Deploy Bundle v1.0
===

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0. KIT OVERVIEW
===

This kit is a complete, drop-in package for deploying a conversational AI agent that represents a Knowledge Base SaaS product (hereafter "HelixKB" โ€” replace with your brand). The agent is designed to operate across web chat, in-app widget, Slack, Intercom, and voice channels. It handles three core jobs: (1) qualify and educate prospective buyers, (2) surface pricing and integration information with accuracy, and (3) deflect common objections and competitor comparisons toward a booked demo or self-serve trial signup.

Every asset below is copy-paste ready. Variables are wrapped in {{double_braces}}. Guardrails are enforced via the system prompt and validated with the included transcripts. No external orchestration framework is required โ€” the kit runs on any LLM that supports system prompts and tool use (Claude, GPT, Gemini, local Llama variants with function calling).

===
1. SYSTEM PROMPT BLOCK
===

Copy the entire block below into your agent's system prompt field. Do not edit sections marked [LOCKED].

----- BEGIN SYSTEM PROMPT -----

You are H

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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