Generative AI with Databricks

Generative AI with Databricks

Enterprise-grade LLM, RAG, and AI systems deployed securely on Databricks Lakehouse.

Lucent Innovation design and deploy production grade Generative AI with Databricks systems. We implement secure LLM, RAG, and vector search architecture with full governance and enterprise scalability for organizations focused on execution, not experimentation.

Databricks Mosaic AI services & Lakehouse Experts logo

Databricks Mosaic AI services & Lakehouse Experts

Production Ready LLM Deployment logo

Production Ready LLM Deployment

Enterprise Grade AI Governance logo

Enterprise Grade AI Governance

As an enterprise generative AI implementation partner, we design and deploy production-grade GenAI systems on Databricks that solve real operational challenges. We build secure, scalable LLM and RAG architectures that integrate seamlessly with your infrastructure, and workflows. From private LLM deployment on Databricks to full LLMOps lifecycle management, we handle end-to-end execution without complexity.

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LLM Integration & Deployment  logo
LLM Integration & Deployment

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Retrieval-Augmented Generation (RAG) Systems logo
Retrieval-Augmented Generation (RAG) Systems

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Private & Secure LLM Infrastructure logo
Private & Secure LLM Infrastructure

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LLMOps & AI Lifecycle Management logo
LLMOps & AI Lifecycle Management

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AI Agent & Workflow Automation Systems logo
AI Agent & Workflow Automation Systems

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We Deliver Enterprise Level Generative AI Solution

Partner with Lucent Innovation to design and deploy enterprise grade Generative AI with Databricks that align with your infrastructure, security and scalability requirements while accelerating real-world AI adoption across the organization.

Internal Knowledge AI Systems

AI-Powered Commerce Experiences

Document Intelligence Automation

AI Copilots

Personalized Commerce Engines

RAG powered knowledge architectures engineered to securely retrieve, index, and reason over proprietary enterprise data at scale.

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Vector search pipelines built on Databricks

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Embedding based document indexing architecture

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Role based data access enforcement

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Context aware response generation

Explore Our Generative AI with Databricks Portfolio

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Location PinNew York, USA

Enterprise RAG Knowledge System on Databricks

Challenge Faced:

The client had critical business data distributed across ERP, CRM, SharePoint, and internal databases. Teams lacked a unified intelligence layer to retrieve context-aware insights securely and existing search tools failed to provide domain-accurate responses.

Solution:

We implemented a Databricks-native RAG system using Mosaic AI and Vector Search. It includes embeddings pipelines for structured + unstructured enterprise data, role-based access control and governed LLM endpoints via Model Serving for internal knowledge retrieval.

Core Technologies Used

Databricks LakehouseMosaic AIDatabricks Vector SearchMLflowDelta Lake
See Full case studyarrow-right
Enterprise RAG Knowledge System on Databricks

Outcomes Achieved

60%
Reduction in internal information retrieval time
50%
Improvement in response relevance accuracy
35%
Reduction in manual knowledge support tickets
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AI Governance & Risk Control Architecture

Generative AI systems are deployed with governance, access control, and monitoring built into the architecture level. Also, every implementation aligns with enterprise security standards and Databricks-native governance capabilities.

Unity Catalog Integration

Centralized governance enforced through Databricks Unity Catalog for consistent policy control across AI workloads.

Unity Catalog IntegrationUnity Catalog Integration

Role-Based Access Control

Granular permission frameworks restrict access to models, datasets, and inference endpoints across environments.

Role-Based Access ControlRole-Based Access Control

Data Isolation

LLM infrastructure deployed within secure isolated environments to protect sensitive enterprise data boundaries.

Data IsolationData Isolation

Model Monitoring

Continuous performance, drift, and latency monitoring ensures stable and reliable production AI systems.

Model MonitoringModel Monitoring

Audit Logging

Comprehensive audit trails capture model activity, data access, and configuration changes for enterprise traceability.

Audit LoggingAudit Logging

Compliance Alignment

AI deployments are structured to align with internal governance standards and enterprise compliance frameworks.

Compliance AlignmentCompliance Alignment

Why Choose Us for Generative AI with Databricks

Why Partner with Lucent for Enterprise GenAI on Databricks

Deploying Databricks Generative AI service in production requires more than model experimentation. Lucent Innovation brings a Databricks-first execution mindset, combining LLM architecture, secure infrastructure design, and enterprise delivery capability to move AI systems from concept to governed production environments.

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Databricks-First Engineering Approach

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Production-Over-POC Execution Model

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Deep RAG & LLM Infrastructure Expertise

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Commerce & Enterprise Domain Experience

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LLMOps & AI Lifecycle Governance

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Cross-Functional Architecture Teams

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Scalable Lakehouse-Native Deployments

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Security-First Infrastructure Design

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Enterprise Delivery & SLA Commitment

Enterprise Generative AI Deployment on Databricks

Enterprise Generative AI initiatives require structured execution, governance alignment, and controlled scaling. Our deployment flow ensures secure architecture design, disciplined implementation, and measurable production readiness on Databricks Lakehouse.

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Use Case Assessment

We evaluate high-impact GenAI use cases aligned with business priorities, data maturity, and infrastructure readiness.

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Architecture Design

Our databricks-native GenAI architecture covering LLM orchestration, RAG pipelines, vector search frameworks, and secure infrastructure boundaries.

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Implementation

We implement production-grade LLM, RAG, and AI agent systems using structured engineering sprints.

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Governance Integration

We integrate access control frameworks, audit mechanisms, and model lifecycle governance into the deployment.

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Scaling & Optimization

We optimize inference performance, cost efficiency, and workload stability using monitoring frameworks and LLMOps practices.

Engagement Models

We show you exactly what you have to pay upfront with no surprise fees. You only pay for the generative AI work your project actually needs, so, pick up the pricing model that works for your budget and timeline.

Build a Dedicated Team

Hire Generative AI engineers who work exclusively on your LLM, RAG, and Databricks AI infrastructure initiatives.

  • ✔️Direct access to LLM & RAG engineers
  • ✔️Architecture-to-production ownership

From $50/hr

Hourly Rate (USD)

Engage senior GenAI engineers for LLM optimization, RAG enhancements, model tuning, or infrastructure improvements.

  • ✔️Best for targeted AI improvements
  • ✔️Transparent engineering time tracking

From $4000/month

Monthly Rate (USD)

Secure a dedicated Generative AI squad delivering 160+ engineering hours per month to build, operationalize, and scale AI systems on Databricks.

  • ✔️Full LLMOps on Databricks & governance support
  • ✔️Scalable AI infrastructure development

Ready to Supercharge Your Data Strategy?

Maximize your data’s potential with Databricks Generative AI services

Explore More Data & AI Capabilities

Protect your business growth with our extra services and built to ensure your data strategy stays strong and efficient.

What Our Clients Say

A glimpse into what our clients think of the work we've done together.

“No task was impossible, and they delivered. It was so cool to dream big and have the results become a reality, thanks to their dedication, technical expertise, and seamless execution.”

Treva Stone

Treva Stone

CEO, Moonglow Australia

“Good developers with experienced knowledge and who are always willing to suggest ways to improve your workflow. Their support and expertise have been invaluable in enhancing our project’s efficiency and overall success.”

Gibson Tang

Gibson Tang

Director of Engineering, Mighty Jaxx

“I am impressed with their ability to get things done quickly while maintaining high quality. They were responsive, easy to work with, and ensured everything was delivered as promised.”

James Owen

James Owen

Owner, Raintree Nursery

“We were impressed with their timelines, accuracy, and understanding of business and technical requirements. Their proactive approach and seamless execution made the entire process smooth and efficient.”

Ujjawal Kothari

Ujjawal Kothari

AVP- eCommerce & Social Media, Iconic

“They were very humble and nice to work with, always responsive and willing to go the extra mile to ensure our needs were met efficiently and professionally.”

Soumik Ganguly

Soumik Ganguly

Founder, Liberecas

“The team truly goes above and beyond to ensure everything looks and functions exactly how we envisioned. And we’re genuinely happy with the results.”

Jack Bensason

Jack Bensason

Former CEO of Trestique Beauty

“Lucent Innovation dramatically improved our website speed—the integration of crucial features enhanced user engagement and our e-commerce capabilities.”

Akshay Khatri

Akshay Khatri

Manager Marketing (D2C Head) - Noise

“Nicobar's smooth migration was achieved through Lucent Innovation's structured planning and patient approach. They demonstrated their reliable expertise and minimized potential disruptions.”

Anoop Roy Kundal

Anoop Roy Kundal

Former Consultant & Technology Head - Nicobar Design Pvt. Ltd.

“Lucent Innovation's excellent e-commerce development and SEO skills led to improvements in TMC's website speed, conversion rates, and Google Ranking.”

Radhika Nangia

Radhika Nangia

Assistant Manager (D2C) - The Man Company

Frequently Asked Questions

Still have Questions?

Let’s Talk

What is Generative AI with Databricks and why choose it for enterprise?

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How does Lucent Innovation implement LLM integration & deployment on Databricks?

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How does Lucent Innovation ensure enterprise-grade security and governance for GenAI on Databricks?

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What engagement models does Lucent Innovation offer for Generative AI projects on Databricks?

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Why choose Lucent Innovation as your partner for Generative AI with Databricks?

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