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Simple RAG Agent

Empower your team with instant, accurate answers from your own documentation. A Simple RAG (Retrieval Augmented Generation) Agent connects a powerful chat AI to your private knowledge base—be it documents, PDFs, websites, or internal wikis. This ensures that every response is grounded in approved content, complete with source citations, and aligned with your brands voice and compliance standards. It is the perfect solution for internal support, sales enablement, and deflecting repetitive customer questions.

  • Retrieval augmented generation (RAG) connected to your knowledge base

  • Clear instructions and guardrails for tone, scope, and compliance

  • Fast deployment with source citations and fallback behavior

  • Secure data handling and update workflows for new content

What are the key outcomes?

  • Reduce repetitive employee questions by up to 80%.
  • Ensure consistent, accurate answers aligned with brand voice.
  • Lower support ticket volume through self-service Q&A.
  • Improve sales enablement with instant access to product facts.

Who is this service for?

  • Teams with growing documentation and repeat questions
  • Support and success teams that need faster, consistent answers
  • Ops and HR teams with policy wikis and SOPs
  • Sales teams needing quick access to product facts and pricing rules

What problems does this solve?

  • Employees waste time searching through scattered docs
  • Inconsistent answers from different sources or people
  • Customer tickets escalated due to slow information retrieval
  • Knowledge gets outdated without a structured update loop

Core Deliverables

Collect, clean, and index your content for retrieval.
Collect, clean, and index your content for retrieval.
  • Connectors for PDFs, Google Drive, Notion, Confluence, websites
  • Text extraction, chunking, metadata tagging, and deduplication
  • Embeddings index with namespace and access controls
  • Scheduled re-indexing for new or updated content
Design the system prompt and guardrails.
Design the system prompt and guardrails.
  • Role and tone definition aligned to brand
  • Answer format with citations and disclaimers
  • Refusal and escalation behaviors when confidence is low
  • PII redaction and compliance-safe instructions
Simple interface or widget your team can use immediately.
Simple interface or widget your team can use immediately.
  • Web chat widget or internal portal
  • Source snippets with links for each answer
  • Feedback and thumbs up/down for continuous improvement
  • Optional handoff to human or ticketing system
Keep responses accurate and safe over time.
Keep responses accurate and safe over time.
  • Analytics on questions, resolutions, and gaps
  • Content gap detection to update the knowledge base
  • Versioned prompts and index snapshots
  • Monthly quality review playbook

Project Packages

RAG Starter

$2,500

1-2 weeks

  • One data source (up to 200 documents or 50k tokens extracted)
  • Base prompt and answer with citations
  • Hosted chat widget
  • Basic analytics and re-index schedule

RAG Growth

$4,000

2-3 weeks

  • Up to three data sources with metadata tagging
  • Confidence thresholds and safe fallbacks
  • Admin panel for re-index and content status
  • Slack or Teams integration

RAG Plus

$5,000

3-4 weeks

  • SSO or token-based auth
  • Advanced filters and collections
  • Ticketing handoff or CRM notes
  • Quarterly quality audit playbook

Our Process

  1. 1

    Discovery: confirm scope, sources, and access

  2. 2

    Ingestion: connect, clean, and index content

  3. 3

    Prompting: set tone, format, and guardrails

  4. 4

    Deploy: launch chat UI and integrations

  5. 5

    Validate: test answers, tune thresholds

  6. 6

    Operate: monitor, re-index, and improve

Tech Stack

Vector database with embeddings, Document loaders and ETL, LLM chat interface and function calling, Auth (SSO, API keys) and audit logs

FAQs

Launch a reliable RAG agent for your documentation.

Book an Intro Call