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Ai-Powered Semantic Search Solution Tender in Canada - 146062016

The TOWN OF QUALICUM BEACH has issued a Tender notice for the procurement of a Ai-Powered Semantic Search Solution in the Canada. This Tender notice was published on 28 Jul 2026 and is scheduled to close on 21 Aug 2026, with an estimated Tender value of Refer Document. Interested bidders can access detailed Tender information, eligibility criteria, and complete bidding documents by referencing TOT Ref No. 146062016, while the tender notice number is 2026-25 and Registering on the platform.

Procurement Summary

Country: Canada

Summary: Ai-Powered Semantic Search Solution

Deadline: 21 Aug 2026

Posting Date: 28 Jul 2026

Other Information

Notice Type: Tender

TOT Ref.No.: 146062016

Document Ref. No.: 2026-25

Competition: ICB

Financier: Self Financed

Purchaser Ownership: Public

Tender Value: Refer Document

Purchaser's Detail

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Tender Details

The Town of Qualicum Beach (the “Town”) invites qualified proponents to submit proposals for the design, development, implementation, and ongoing support of an AI-powered semantic search solution for the Town-s public website and document library. The new solution will replace the Town-s current keyword-based website search. The Town-s objective is a search experience that understands the intent of a search — not merely the words typed — and returns accurate, relevant results across both the Town-s website pages and its document library. The Town has tested this approach internally and is seeking a proponent to deliver it on a production scale, prove its accuracy through quantifiable AI evaluation, and keep it current and improving over time.
Solicitation Type : RFP - Request for Proposal (Formal) Reference Number : 00005137986 Location : British Columbia Purchase Type : Not Stated Dates Publication : 2026/07/28 04:18:00 AM EDT Closing Date : 2026/08/21 05:00:00 PM EDT Contact Information : Reno Sun : 250-752-6921 : [email protected] : Description : The Town of Qualicum Beach (the “Town”) invites qualified proponents to submit proposals for the design, development, implementation, and ongoing support of an AI-powered semantic search solution for the Town’s public website and document library. The new solution will replace the Town’s current keyword-based website search. The Town’s objective is a search experience that understands the intent of a search — not merely the words typed — and returns accurate, relevant results across both the Town’s website pages and its document library. The Town has tested this approach internally and is seeking a proponent to deliver it on a production scale, prove its accuracy through quantifiable AI evaluation, and keep it current and improving over time.

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