Your team spends 20 minutes finding answers that already exist — give them one search that works across everything.

Yes. Look for enterprise search that deploys as an embeddable component — a search bar, widget, or full search experience you can place anywhere users need access, all querying the same index with audience-appropriate results.

Building search is one problem. Getting it to users is another. Most enterprise search tools live in their own interface — a separate URL employees have to bookmark and remember to use. If you want search in your product, on your website, inside a partner portal, and on an internal hub, you're looking at four separate integrations or custom development for each touchpoint. Teams build one, maybe two, and the rest never happen.

MatrixFlows search deploys anywhere — as a standalone search experience on your domain, an embedded widget on your website, an in-app search bar inside your product, or a component within any MatrixFlows portal, help center, or content hub. One search index, multiple deployment points, each respecting the permissions and context of that audience. Drop a search widget into your partner portal and partners search partner content. Embed it in your product and customers search customer documentation. Add it to your internal wiki and employees search everything. Same foundation, deployed wherever users already are — no separate implementations, no developer dependency per touchpoint.

Yes. Look for enterprise search with multi-format indexing that extracts and indexes content from PDFs, Word documents, spreadsheets, presentations, videos (via transcription), and web pages — making everything searchable alongside your structured knowledge articles.

Most search tools index what's easy — articles, web pages, structured content. But the most valuable knowledge in many organizations lives in formats that traditional search ignores: the product spec PDF from engineering, the training deck from last quarter, the Excel sheet with compatibility data, the video walkthrough that one engineer recorded. These files exist but they're invisible to search. People know the answer is "in a PDF somewhere" but can't find it.

MatrixFlows indexes across all content formats — PDFs with OCR, Word documents, spreadsheets, presentations, web pages, and structured knowledge articles — into one unified search layer. A customer searching for installation specifications finds the answer whether it lives in a PDF manual, a knowledge article, or a spreadsheet. AI search understands the content inside these files, not just filenames and metadata. The format becomes irrelevant — what matters is the answer, regardless of where it was authored.

Use an enterprise search platform with permission-aware indexing — where search results respect existing access controls from your source systems and your own permission model, so every user only sees content they're authorized to access.

This is the #1 blocker for enterprise search adoption. IT won't approve a tool that surfaces confidential HR policies to the entire company, or internal pricing docs to customers. Most enterprise search tools either ignore permissions entirely (security risk) or implement them so rigidly that the search becomes useless (nobody finds anything because everything is over-locked).

MatrixFlows enforces access controls at every layer. Content indexed from source systems respects existing permissions. Your own permission model adds granular control — by role, team, audience type, or custom access levels. Internal employees search and find internal content. Customers searching the same system only see customer-facing content. Partners see partner-level resources. The search is unified, but visibility is scoped — every user gets comprehensive results within their authorization, and nothing outside it.

Yes. AI-powered enterprise search using RAG (Retrieval-Augmented Generation) can generate direct, conversational answers from your company's verified content — citing the source documents so users can verify — instead of returning a ranked list of links.

Traditional enterprise search returns ten blue links. The user has to open each document, scan for the relevant section, and piece together the answer themselves. For a simple question like "what's our return policy for Partner Tier 2?" — the answer exists in a PDF somewhere, but the employee spends fifteen minutes finding and reading it. Multiply that by every question, every employee, every day.

MatrixFlows combines hybrid search (semantic + keyword + faceted filtering) with RAG-powered AI that generates direct answers grounded in your content. An employee asks a question in natural language and gets a specific response with source citations — not a list of documents to read. The AI searches across all content types and formats simultaneously, so the answer might pull from a policy document, a knowledge article, and a training guide in the same response. When no good answer exists, the AI says so instead of guessing.

Yes. Look for an enterprise search platform that connects to your existing content sources and indexes them into a unified search layer — so users type one query and get results from every system, regardless of where the content lives.

The average knowledge worker checks 4-8 tools to find what they need. They search SharePoint, get nothing relevant, try Confluence, find a half-answer, then ask on Slack and wait an hour. The information exists — it's just scattered across systems that don't talk to each other. Every search becomes a scavenger hunt, and most people give up and ask a colleague instead.

MatrixFlows connects to 15+ content sources — SharePoint, Google Drive, Confluence, Notion, Zendesk, Salesforce KB, websites, PDFs, and more — and indexes everything into a single searchable foundation. Users search once and get results across all sources. Content can stay where it lives or import cleanly. No migration required, no rip-and-replace — you unify discovery without disrupting how teams already work.