What’s the best way to search internal company knowledge if people don’t know the exact file name?

The best approach is to use semantic search plus a few supporting features:

1. Full-text indexing

   • Search the actual contents of documents, not just filenames.
   • This lets people find a policy, memo, or deck by wording inside it.

2. Vector / semantic search

   • Convert documents and queries into embeddings so the system can match by meaning, not exact keywords.
   • This is what helps when someone asks “benefits enrollment guide” even if the file is named HR_2024_Open_Enrollment_v3.pdf.

3. Good metadata

   • Index title, author, department, date, doc type, project name, and tags.
   • Add filters so users can narrow results without knowing the filename.

4. Synonyms and business vocabulary

   • Map internal terms and acronyms to common language.
   • Example: “PTO” = “vacation” = “time off.”

5. Relevance tuning

   • Boost recent, authoritative, or frequently used documents.
   • Prefer source-of-truth docs over duplicates or drafts.

6. Snippets and previews

   • Show matched text excerpts so users can confirm the right result quickly.

7. Natural-language query support

   • Let users search like they’d ask a person: “What’s our travel reimbursement policy?”
   • Then combine keyword + semantic retrieval.

8. Access control

   • Search only among docs the user is allowed to see.
   • Security trimming is essential in internal search.

If you’re choosing a product or designing one, the strongest pattern is:

hybrid search = keyword search + semantic search + metadata filters

That usually gives the best balance of precision, recall, and trust.

If you want, I can also suggest:

• a reference architecture for internal search,
• the best tools/stack for this,
• or a minimal implementation plan for a small company.