Knowledge Explorer
Discovery hub for navigating projects, research, expertise, technologies, and concepts.
Recently Updated
- Designing Production RAG Systems That Don't HallucinateNotes on validation layers, hybrid retrieval, and model routing for enterprise RAG pipelines.
- Multi-Agent Orchestration Patterns for Research AutomationArchitecture notes from building BohrAI — central runtime, specialized sub-agents, and citation integrity validation.
- Large-Scale Document Pipeline AutomationParallel PDF splitting and Google Drive integration processing 1,000+ page files in under 2 minutes.
- LLM Cost Optimization Without Sacrificing QualityDynamic model routing, token budgeting, and task-specific provider selection in multi-model systems.
- SOC Analytics Ingestion PipelineReal-time data aggregation from 6+ security tools with anomaly detection and automated threat monitoring.
- From Notebooks to Production AIWhat changes when you move from Jupyter experiments to systems that non-technical teams depend on daily.
- NL-to-SQL Enterprise Reporting PlatformSchema-aware natural language interface enabling non-technical teams to query PostgreSQL, MySQL, and MSSQL databases without analyst dependency.
- BohrAI — AI Research Automation PlatformMulti-agent research system automating literature discovery, evidence validation, and structured report generation with CLI + API and SSE streaming.
Expertise
- RAG SystemsHybrid retrieval, reranking, and validation for grounded LLM responses.
- Document IntelligenceDocument pipelines for PDFs, forms, and unstructured enterprise content.
- Multi-Agent SystemsLangGraph-style orchestration for specialized agent workflows.
- Enterprise AutomationAutomation systems that combine rules, APIs, and AI decision layers.
- AI EngineeringApplied AI engineering across retrieval, agents, and enterprise deployment.
- Evaluation SystemsStructured evaluation for accuracy, latency, and regression detection.
- Vector SearchSemantic search layers powering RAG and knowledge retrieval.
- AI InfrastructureFastAPI, cloud, and platform infrastructure for AI applications.
- Knowledge SystemsConnected knowledge layers for research, documentation, and retrieval.
- MLOpsOperational practices for reliable model serving and evaluation.