Sold by: Ironside
Converts enterprise and external data into an interactive and queryable intelligence layer using Retrieval Augmented Generation on Amazon Bedrock. Ironside empowers teams to ask questions in plain language and receive grounded, verifiable answers.
Overview
Ironside’s Building GenAI Knowledge Bases for Actionable Decisions offering converts enterprise document archives into an interactive, queryable intelligence layer using Retrieval-Augmented Generation (RAG) on Amazon Bedrock. We empower teams to ask questions in plain language and instantly receive grounded, verifiable answers drawn directly from your organization’s proprietary data with full source attribution.
Engagements are delivered across three core pillars:
- Data Ingestion & Multimodal Extraction: Ingesting technical reports, policies, regulatory filings, and historical archives into Amazon S3, using automated extraction to unlock digital and handwritten content into high-accuracy vector embeddings.
- RAG Architecture & Foundation Model Tuning: Configuring Amazon Bedrock Knowledge Bases, selecting and validating the optimal foundation model, and engineering domain-specific prompt templates with enterprise guardrails for reliable retrieval.
- Interactive Application & Production Deployment: Delivering a secure, browser-based search application with dynamic source citations, deployed across three governed AWS environments (Dev, QA, Prod) with complete operational handoff.
Deliverables: Production-ready GenAI knowledge base in the client's AWS account, curated vector database, domain-tuned prompt library, browser-based interactive query application with source attribution, 3-tier AWS environment setup, and architecture documentation.
Highlights
- Unlocks unstructured enterprise and external archives (including technical reports, filings, and handwritten notes) enabling teams to query data in plain language with full source attribution.
- Deploys a production-grade RAG application on Amazon Bedrock across three governed AWS environments (Dev, QA, Prod) with domain-tuned prompts and safety guardrails.
- Democratizes expertise across entire teams to accelerate decision-making, turning decades of accumulated institutional knowledge into instant, verifiable answers.
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