Integrations
RAG Integration
Arif AI supports Retrieval-Augmented Generation (RAG) to enable semantic search across your company's knowledge base. This allows the AI to answer questions based on your internal documents, policies, and FAQs.
RAG Tools
| Tool | Description |
|---|---|
knowledge_base_search | Semantic search across indexed documents |
document_indexer | Index new documents (PDF, Word, web URLs) |
policy_assistant | Query company policies using natural language |
Indexing Documents
Use the document_indexer tool to add documents to your knowledge base:
"Index the employee handbook from Drive"
"Add our return policy to the knowledge base"Supported formats: PDF, Word (.docx), Excel (.xlsx), plain text, and web URLs.
Use Cases
- Policy Q&A — Employees ask about company policies and get accurate answers
- Product Knowledge — Sales teams query product specifications
- Onboarding — New hires find answers about processes and procedures
- Customer Support — Agents search for solutions from past resolutions