What a vector database is for, in plain terms

Why search that understands a question needs one, and when your existing database will do.

Hitasoft engineering5 min read

Your database can find any record, as long as you already know its reference number. It cannot find the record that answers a question, and that gap is what a vector database closes.

Matching meaning instead of matching text

Text gets turned into numbers, and anything that means something similar ends up sitting near it. A question asked in plain words lands near the records that answer it, even when they share none of the same words.

You may not need a separate one. PostgreSQL does this with an extension, and for most companies that is a smaller change than adding another system to run.

Wondering what this would take against your own systems?

The review is a fixed price, and you keep the costed plan and the risks whether you go ahead or not.

Book an automation review

Hitasoft engineering

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Hitasoft has built software since 2008, for companies that mostly do not have an IT department. These pieces are written by the people who do the integrations rather than by anybody in marketing.

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Let AI do the repetitive
half of the job.

Data entry, answering the same tickets, chasing numbers between systems. We automate the parts that repeat. Your team keeps the parts that need judgement.

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