Generative Ai Development Case Studies

This technical reference architecture details the AST code graph index, self-hosted vLLM inference configuration, and post-mortem KV-cache memory fix for an enterprise private code copilot. Engineered with Qdrant vector database, Tree-sitter AST parsers, and local GPU clusters, the blueprint evaluates semantic repository context retrieval without third-party API exposure.

This technical reference architecture details the multi-agent orchestration pattern, catalog vector retrieval, and post-mortem state synchronization fix for conversational retail shopping. Engineered with LangGraph, vLLM, Qdrant vector search, and Redis Stack, the blueprint evaluates sub-agent routing and state consistency under concurrent user sessions.

This technical reference architecture details the layout parsing, pgvector hybrid search, and post-mortem table boundary fix for autonomous invoice processing. Engineered with PostgreSQL pgvector, Reciprocal Rank Fusion (RRF), and self-hosted vLLM inference servers, the blueprint evaluates hybrid dense-sparse retrieval across complex financial billing formats.

This technical reference architecture details the multi-jurisdiction clause parsing pipeline, regulatory rule mapping, and post-mortem token truncation fix for automated contract review. Engineered with LlamaIndex, pgvector hybrid search, and Pydantic schema validation, the blueprint evaluates hierarchical clause indexing across complex agreements.

This technical reference architecture details the dynamic vehicle routing solver, Ray distributed compute cluster, and post-mortem telemetry queue fix for freight logistics. Engineered with Ray, ClickHouse, Temporal workflows, and Python microservices, the blueprint evaluates dynamic route re-calculation during continuous high-frequency telemetry ingestion.