AI Platform Migration (OpenAI to AWS)

Content discovery and search-intensive platforms built on OpenAI face compounding costs as document volumes grow, and vendor consolidation on AWS is a meaningful opportunity to reduce spend while improving search relevance and scale. This engagement replaces OpenAI embeddings and separate vector storage with Bedrock Titan v2 and OpenSearch, using a phased migration approach that protects production continuity throughout.

• Migration assessment covering current architecture, embedding pipeline, and search workflows
• Target architecture replacing OpenAI embeddings with Bedrock Titan v2 and consolidating into OpenSearch
• Hybrid search combining semantic, keyword, and filtering for superior relevance at 100M+ documents
• Parallel re-embedding and phased dual-read validation through cutover
• Production-grade OpenSearch clusters via Terraform IaC with WAF and credential rotation

Key Benefits:

• Significant cost reduction through vendor consolidation
• Superior search relevance viable at 100M+ document volumes
• Zero-downtime cutover through phased dual-read validation

Best for:

Organizations running content discovery or search-intensive workloads on OpenAI, managing tens of millions of documents, and looking to consolidate vendors and reduce costs within AWS.

• Timeline: 8 to 12 weeks.
• Pricing: Scoped per engagement. AWS funding may apply.