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In-depth technical breakdowns of production RAG architectures, high-concurrency transactional backends, and autonomous agent platforms.
An AI-powered RAG application that enables analysts to query a large-scale CFPB consumer complaint dataset using semantic retrieval and grounded language generation.
• 1.37 million consumer complaints indexed and processed
A high-throughput RAG system enabling real-time semantic document search across internal repositories with pgvector, BM25 hybrid ranking, and document-level RBAC.
• Sub-400ms end-to-end retrieval latency