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Enterprise Search with a Unified API

October 7, 2025

Enterprise search is one of the most common GenAI-powered use cases inside SaaS products. Customers want to ask questions in natural language and get answers from their documents, wikis, chats, and tickets—without switching systems.

The challenge is that enterprise content lives everywhere: Google Drive, Notion, Slack, Zendesk, Confluence, Outlook, and more. Each source has different schemas, rate limits, and webhook behaviors. Building and maintaining per-vendor connectors is a massive drain on engineering time.

A unified API removes this complexity by normalizing unstructured content across 300+ integrations and delivering it in real time. That lets your product index, embed, and search customer data through one consistent schema—ideal for powering retrieval-augmented generation (RAG) pipelines and enterprise search.

With a unified API, you can:

  • Enable unified knowledge search across files, wikis, chats, tickets, and CRM notes.
  • Support IT and HR workflows with central access to policies, SOPs, and onboarding docs.
  • Power RAG-based assistants that answer questions using company knowledge.
  • Keep results fresh with real-time updates instead of batch syncs

Normalized Content Types

Unified.to provides consistent schemas across common enterprise data categories:

  • File (storage_file) — cloud storage content (Google Drive, Box, Dropbox, OneDrive).
  • Page (kms_page) — knowledge management systems like Notion, Confluence, Coda, Guru.
  • Message (messaging_message) — conversations from Slack, Teams, Gmail, Outlook.
  • Ticket (ticketing_ticket) — support and IT tickets from Zendesk, JSM, ServiceNow.

All objects come with normalized metadata (IDs, timestamps, authors, URLs) so they can be indexed and embedded consistently, regardless of source.

Here's how it works with Unified.to:

  1. Connect — Your customer authorizes integrations like Drive, Slack, or Zendesk.
  2. Subscribe — Unified streams updates via webhooks for files, messages, tickets, or pages.
  3. Index & Embed — Fetch content, chunk it, add metadata, and generate embeddings with your model of choice. Store results in a vector database.
  4. Query & Retrieve — When a user searches, query the vector DB to retrieve top results.
  5. Answer & Deliver — Return matches with citations, optionally using Unified's GenAI endpoints for answer generation.

See how to apply a similar approach for conversational Q&A: How to Build a RAG Pipeline for a Q&A Bot with Unified.to

Supported Data Sources

Unified.to supports 21+ data categories and 345+ integrations, including:

  • File storage: Google Drive, Box, Dropbox, OneDrive
  • Knowledge systems: Notion, Confluence, Coda, Guru
  • Messaging & email: Slack, Teams, Gmail, Outlook
  • Ticketing & help desk: Zendesk, Jira Service Management, ServiceNow

See the full list of supported integrations

Why This Matters for Product Teams

For PMs and engineers, a unified API makes enterprise search practical at scale:

  • One schema for 300+ sources — no custom parsing per vendor.
  • Real-time accuracy — webhook-driven updates, not 24-hour batch syncs.
  • Secure by design — Unified never stores customer data, simplifying security and compliance reviews.
  • Flexibility — support for multiple categories (storage, KMS, messaging, ticketing) through a single API.

This allows your team to deliver enterprise-grade search and GenAI features faster, while avoiding integration debt.

Launch enterprise search across 345+ data sources with Unified.to. Sign up for a free 30-day trial or book a demo to see Unified.to in action.

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