Figwave global

Figwave global

AWS Advanced Tier Partner
Figwave global — AWS Consulting
Home
Company Contact
Talk to an Engineer
AWS Advanced Tier Services Partner
← Back to all 13 AWS Services
GenAI Validated
Data & AI

Generative AI

Lay a solid data foundation for AI in the cloud and develop customized Generative AI solutions and RAG workflows in weeks, not months.

Generative AI — built with Amazon Bedrock, Amazon SageMaker, OpenSearch Serverless, LangChain, pgvector Amazon Bedrock Amazon SageMaker OpenSearch Serverless LangChain pgvector

Overview

We help you move from generative AI ideas to working solutions on AWS — such as internal knowledge assistants, document processing and customer-facing chat built on Amazon Bedrock.

Our focus is on grounding models in your own data with retrieval-augmented generation (RAG), adding guardrails and evaluation, and keeping data within your AWS environment.

Scope of Work & Technical Methodology

Prescriptive AWS engineering deliverables deployed with Infrastructure as Code (IaC), compliance guardrails, and enterprise SLAs.

Enterprise RAG (Retrieval-Augmented Generation) pipelines using Amazon Bedrock
Fine-tuning foundation models (Claude, Llama, Titan) on proprietary domain data
Vector database integration with OpenSearch, pgvector, and Amazon Kendra
AI guardrails, data governance, safety filters, and audit logs

What You Receive

  1. 1 Use-case discovery and prioritisation workshop
  2. 2 Data preparation and vector search knowledge base
  3. 3 RAG application built on Amazon Bedrock
  4. 4 Guardrails, evaluation and prompt management
  5. 5 Deployment, cost monitoring and usage analytics

Core AWS Technologies & Tooling

Amazon Bedrock Amazon SageMaker OpenSearch Serverless LangChain pgvector
Measurable Business Impact

Production-ready AI capabilities delivering immediate operational ROI

Talk to an Engineer