AI-based Product Search Engine

We offer a smart search engine for companies with large and complex product databases, enabling AI to connect directly with company data. By using a Retrieval-Augmented approach (RAG), the AI is limited and guided to work only with your trusted database content—empowering the business by integrating AI into core processes while regulating how the AI thinks and responds.

Instead of only finding results based on exact words, our solution allows AI to search inside the company database in a smarter way, understanding both the meaning and context of a query. This makes it possible to:

• Find the right products even with typos, abbreviations, or vague descriptions.

• Get suggestions for similar products that may be relevant.

• Work faster and more efficiently with large databases, even without knowing all the exact names or codes.

With this technology, AI can understand the content of the product database. When you enter a query or a search, you get answers based on the AI’s understanding of the entire database – not just word matches.

How our product search works – step by step

1. Query from frontend
   The user enters a query in the web interface.

2. Receiver Agent
   Accepts the query text and connects securely to the company’s database.

3. Database Retrieval
   Retrieves about 30 best-matching products based on semantic meaning (not just exact words).

4. Ranking & Explanation Agent
   Ranks the candidates against the query and adds a short explanation per product:

   • Exact match? Yes/No

   • If No: specifies what is different (e.g., size, material, compatibility)

5. Response to frontend
   The results are sent back as a list view (product name, link, similarity score, “Exact match?” flag, and explanation of differences).