Custom Ai Solutions 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 graph database topology, vector traversal pipeline, and post-mortem connection pool fix for financial transaction monitoring. Engineered with Neo4j Graph RAG, Memgraph, and self-hosted vLLM inference microservices, the architecture evaluates decoupled in-memory traversal to discover complex anomaly patterns under strict latency constraints.

This technical reference architecture details the multi-modal vision OCR pipeline, LangGraph state machine orchestration, and post-mortem table segmentation fix for complex clinical document parsing. Engineered with AWS Bedrock Zero Data Retention endpoints and Detectron2 vision transformers, the blueprint evaluates layout parsing across multi-column medical charts.

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.