Solutions · Knowledge & RAG

RAG & Knowledge Bases

Corporate knowledge, documents, and policies — accessible to employees and systems through AI agents.

RAG audit log human in the loop
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SourcePIM · DAM
SourceERP · OMS
SourceMarketplace API
SourceReviews · CRM
AgentContent
AgentDigital Shelf
AgentReviews
AgentPricing
AgentSupport
AgentMarketplaces
Human-in-the-loop · governance
OutputListings & content
OutputReports · alerts
OutputActions · responses

Challenges it solves

  • Knowledge is scattered across email, chats, drives, policies, and documents.
  • Employees spend hours searching for the information they need.
  • Knowledge is lost when key people leave.
  • Policies and procedures do not reach employees at the right moment.

What AI does

RAG base of corporate documents

A unified knowledge base with continuous updates and source control.

AI agents with knowledge access

Employees get answers with source citations in a single query.

Policy and procedure processing

AI answers questions about policies and helps apply them in practice.

Versioning and audit log

Full history of queries, document versions, and decisions made.

How it fits into your processes

Integrations

Systems it integrates with

Systems the solution connects to on the client side.

Layer 01 Connections
Document repositoriesCRM · helpdeskERPMessengers

Workflow

Sample workflow

  1. 01
    Knowledge indexing

    AI builds a RAG index from the client's documents and policies.

    AI
  2. 02
    Employee query

    Employee asks a question in a chat or internal application.

    Human
  3. 03
    Answer with citations

    AI responds with sources and context from the policies.

    AI
  4. 04
    Clarification or escalation

    Employee clarifies or escalates to an expert; AI learns from the interaction.

    Human
  5. 05
    Audit log and analytics

    All queries and responses are recorded for compliance and knowledge base optimization.

    AI

Impact metrics

Reduction in time spent searching for knowledge

No invented percentages; impact described without specific figures.

Reduction in internal request response time

No invented percentages; impact described without specific figures.

Reduction in internal support costs

No invented percentages; impact described without specific figures.

24TTL SaaS Products

Technology Foundation of the Integration

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Related Case Study

How It Already Works

A completed 24TTL AI project closely aligned with the tasks of this solution.

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Ready to deploy RAG & Knowledge Bases?