Pull Keywords & Topics
Auto-tag documents with their keywords and key phrases for findability — no manual curation.
What it is
Automatic keyword and key-phrase extraction — documents get tagged for findability without anyone curating tags by hand.
Why it matters
Content, search, and tagging teams cannot manually tag at scale, and untagged documents are hard to find, filter, or group.
What Xberg does
The enrichment step pulls keywords and key phrases from a document, ranked by relevance, ready to drop into search, filters, or tags.
- Keywords and key phrases, ranked by relevance.
- No manual curation.
- Feeds findability — tags, facets, and filters.
- Pairs naturally with semantic search.
More use cases
RAG Pipeline Ingestion
Turn a pile of PDFs, Office docs, and HTML into clean, chunked, embedded data for your vector database — in one call.
Document-Reading Agents
Give your AI agents one tool to read any document — 100+ formats, structured output, every framework.
Replace Legacy IDP
Swap brittle, template-based processing for one API that returns schema-mapped JSON — no templates to maintain.