AI

Semantic Search

Meaning-based search for documents, products, knowledge bases and internal resources.

Problem

Where this helps

Keyword search misses useful results when people describe the same idea in different words.

Solution

What Websiteli builds

We build semantic search that retrieves related content by meaning and combines it with filters where needed.

Benefits

Business outcomes before technology choices.

Find relevant content faster

Improve knowledge discovery

Support AI assistants

Reduce duplicate questions

Ideal client

Best fit

  • Knowledge bases
  • Product catalogs
  • Internal documentation
  • Support teams

Technology

Typical stack

  • Embeddings
  • Vector search
  • RAG
  • Metadata filters
  • Search analytics

Process

A focused path from idea to working system.

01

Identify the business question or knowledge source

02

Prepare the data, prompts and retrieval flow

03

Build a controlled AI workflow

04

Evaluate answers and improve safeguards

Pricing guidance

AI・データ強化

Usually AI/Data Upgrade, with scope based on content volume and freshness requirements.

See pricing structure

FAQ

Questions about semantic search.

What problem does this service solve?

Keyword search misses useful results when people describe the same idea in different words.

Is semantic search suitable for a small business?

Yes. Websiteli scopes semantic search around the workflow, budget and team capacity of the business, then starts with the smallest useful version before expanding.

What does semantic search cost?

Usually AI/Data Upgrade, with scope based on content volume and freshness requirements.

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