Embedding and database selection
Define the inputs, constraints and acceptance criteria with your team.
Vector database development
Find information by meaning as well as keywords.
Build semantic and hybrid search foundations for knowledge assistants, document discovery and product search.
For teams in the UAE, Saudi Arabia and across the GCC.
From requirement to implementation
What your project can include
Indexing, metadata filters and hybrid retrieval
Implement and test against the agreed workflow and representative data.
Relevance evaluation, updates and deletion handling
Make performance visible and prepare your team to operate the solution.
Designed around your environment
Start with the business requirement.
We scope the systems, data access, languages and deployment requirements before choosing models or infrastructure. Arabic and English quality should be tested on your actual terminology and user journeys.
Explore our Middle East approach →Bring to the discovery conversation
- The task you want to improve and how you measure it today.
- Your existing systems and a description of the available data.
- Required languages, users, hosting region and access restrictions.
- Your target timeline and an indicative budget range.
Final scope, delivery milestones and ongoing costs are agreed after discovery.
Before you start
A common question
Do we need a separate vector database?
Not always. An existing database with vector support may be sufficient. The choice depends on volume, filtering, latency and your operating environment.
Related services
RAG development
Connect an AI assistant to approved documents so employees and customers can find answers with source references.
Explore service →Model fine-tuning
Evaluate fine-tuning for consistent style, classification or structured outputs when prompting alone does not meet the requirement.
Explore service →AI with custom business data
Prepare documents and business records for retrieval, evaluation and model adaptation with explicit ownership and access rules.
Explore service →Your next step
Tell us which task is slowing your team down.
Share the use case, your current systems and the outcome you want. We can use that conversation to define a practical first project.