⌕
Discover & assess
Review database versions, workloads, options, custom code, integrations, character sets, time-zone settings, backup and recovery, and application compatibility considerations.
Database services · Oracle modernization · AI-ready dataModernize your database.
Modernize your database.
Unlock what’s next.
From Oracle Database 19c modernization planning to Oracle AI Database 26ai capabilities, Zetronicai helps organizations build a secure, high-performing and AI-ready data foundation—with a roadmap grounded in business priorities.
● ORACLE 26ai
● PERFORMANCE
VECTOR SEARCH ↗
✓ Assessment-led planning
✓ Performance & resilience
✓ AI-ready data architecture
✓ Security-first delivery
Modernize with confidence
A practical path from Oracle 19c to 26ai.
Every database estate is different. We help you evaluate the current environment, understand dependencies and risks, and select an upgrade or migration approach that fits your applications, availability requirements and operating model.
⇧
Upgrade & migrate
Plan and support an appropriate upgrade or migration path, including rehearsal, validation, cutover planning, rollback readiness and post-migration stabilization.
◉
Optimize & stabilize
Establish performance baselines, review SQL and workload behavior, validate high availability and disaster recovery, and strengthen operational monitoring.
▤
Data architecture & replication
Evaluate backup and recovery, Data Guard, GoldenGate and other data movement patterns against business continuity, reporting and integration requirements.
♢
Security & governance
Review access controls, encryption, auditing, database activity visibility and data-protection requirements as part of the modernization plan.
⚙
Day-2 readiness
Document runbooks, monitoring, patching, capacity checks and support handover so the modernized platform can be operated consistently.
Built for modern data demands
More than a version upgrade.
Modernization is an opportunity to simplify operations and prepare data for new application and AI experiences—not just move to a newer database release.
AI Vector Search
Store and search vector embeddings alongside business data, enabling semantic retrieval and similarity-based experiences without treating every query as a keyword lookup.
Hybrid retrieval patterns
Combine vector similarity with relevant filters and keyword search where appropriate to improve retrieval for enterprise knowledge and document use cases.
AI-assisted data experiences
Assess where natural-language interfaces and AI-assisted workflows can help users explore governed enterprise data, subject to security and validation controls.
Modern application data
Evaluate capabilities such as JSON data support and relational/JSON application patterns to help align database design with evolving application needs.
Security & availability foundations
Align encryption, least-privilege access, auditing, backup, recovery and high-availability design with the criticality of each workload.
Performance-aware adoption
Benchmark new features against real workloads, assess operational prerequisites and adopt only what delivers measurable value for the use case.
AI Vector SearchExplore an AI search use case ↗
Bring enterprise knowledge closer to the data.
Vector search represents the meaning of content as numerical embeddings and retrieves items with similar meaning. With Oracle AI Database 26ai, it can support retrieval-augmented generation (RAG) and semantic discovery while keeping relevant enterprise data in the database environment.
✓
Semantic document searchFind relevant policy, procedure, product or technical documents based on meaning—not only exact words.
✓
Grounded enterprise assistantsRetrieve approved context for an AI assistant to use when drafting answers, with source references and access controls designed into the solution.
✓
Similarity and recommendation workflowsExplore matching, classification support and recommendations based on similarity across text or other supported content.
✓
Governance-aware implementationDesign ingestion, embedding generation, refresh, authorization, evaluation and monitoring—not just the vector index.
Illustrative RAG + Vector Search flow
Enterprise documents & dataPolicies · PDFs · Business records
↓
Chunking & embeddingsPrepare content for semantic retrieval
↓
Oracle AI Database 26aiVector storage · Similarity search · Filters
↓
Relevant context for AIGrounded response · Source-aware results
Business value
Where modern database capabilities can help.
We work with your teams to identify focused use cases, prove value and define an operating model before expanding into production.
⌕
Banking knowledge assistant
Search approved policies, runbooks and operational documentation using semantic retrieval.
▤
Document intelligence
Connect extracted document content to search and retrieval workflows with suitable validation.
⌁
DBA & operations support
Make validated technical guidance, procedures and knowledge articles easier to discover.
◎
Customer & product discovery
Explore similarity-based discovery and recommendations where data quality and governance permit.
Important: AI Vector Search and other 26ai capabilities require use-case, architecture, licensing, version, infrastructure and security validation. Outcomes depend on data quality, embedding strategy, retrieval design and evaluation. We recommend a scoped proof of concept before production adoption.
Our delivery approach
From assessment to measurable outcomes.
A transparent delivery process designed to reduce surprises and keep application owners, infrastructure teams and business stakeholders aligned.
PHASE 01
Assess
Inventory, dependency review, compatibility checks, risk register and business objectives.
PHASE 02
Design
Target architecture, upgrade/migration strategy, test plan, downtime and rollback approach.
PHASE 03
Validate
Rehearsal, performance testing, application validation, recovery checks and AI use-case POC where relevant.
PHASE 04
Transition
Controlled cutover, stabilization, operational documentation, knowledge transfer and optimization backlog.
Plan your next step
Book a discovery discussion ↗Ready to modernize your database estate?
Let’s review your Oracle 19c environment, target-state requirements and AI opportunities to shape a realistic roadmap for Oracle AI Database 26ai.