Finding documents is easy. Understanding how everything connects is the hard part.

Two tools. Two different jobs. Here is how to know which one you need.

The core difference

Vector Database

A vector database is like a search engine for your documents. Great for questions like:

"Find me emails about the Henderson project."

It finds the documents most relevant to your question. Fast, simple, and good at what it does.

Knowledge Graph

A knowledge graph is like a map of your entire business. Built for questions like:

"Who do we know at Henderson's company, and when did we last interact with them?"

It follows the thread - person to company to contacts to recent activity. It understands connections, not just keywords.

Both are useful. The right answer depends on the question you are asking.

Side by side

FeatureVector DatabaseKnowledge Graph
What it storesText converted to numbersPeople, companies, and how they connect
Best forFinding similar documentsUnderstanding how things relate
"Find emails about this project"YesNo
"Who introduced us to this client?"NoYes
Knows when things happenedNoYes (with Graphory)
Follows chains of connectionsNoYes
Works with AI assistantsYes (document retrieval)Yes (relationship context)

When you need a knowledge graph

Your data lives everywhere

Gmail, QuickBooks, Slack, your CRM - none of them talk to each other. A knowledge graph connects the people and companies across all of them. A vector database only searches one document at a time.

You ask about people, not documents

"Who introduced us to that vendor?" "Which clients has Sarah worked with?" These need connected data, not search results.

Timing matters

"When did we last talk to Acme Corp?" "What changed on the Henderson deal this quarter?" A knowledge graph remembers when everything happened. Vector search does not.

You need to trust the answer

Where did this information come from? When was it recorded? A knowledge graph tracks the source of every fact. Vector search gives you a document - you figure out the rest.

When vectors are enough

If you just need to find the right document - the right PDF, the right support ticket, the right knowledge base article - a vector database is the simpler choice.

If your questions are "which documents are relevant?" rather than "how is this all connected?" - vectors are simpler and cheaper.

Not every problem needs a graph. Use the right tool for the job.

Graphory gives you both

Graphory connects your tools - Gmail, QuickBooks, Slack, your CRM - and maps every person, company, and conversation into a living network.

Need to find a document? Search works. Need to understand how your business fits together? The graph handles that.

Connect once. Get both.

Try it free

Free to start. No credit card.