Vector Databases & Knowledge Graphs

Build foundational understanding of vector embeddings, similarity search algorithms, and storage architectures that power modern semantic search systems.

• 1.Embedding Models in Production: OpenAI, Cohere, and Open-Source Alternatives10m
• 2.Distance Metrics & Index Types: HNSW, IVF, and Product Quantization10m
• 3.Evaluating Vector Search Performance: Recall, Latency, and Cost Trade-offs10m

Deploy and optimize vector databases for RAG pipelines, evaluating architecture decisions across managed and self-hosted solutions.

• 1.Building RAG Pipelines with Pinecone: Namespaces, Metadata Filtering, and Hybrid Search10m
• 2.Weaviate Schema Design: Multi-Tenancy, Cross-References, and Generative Search Modules10m
• 3.Qdrant Collections & Payloads: Filtering Strategies and Quantization for Cost Optimization10m

Design and query property graphs for enterprise knowledge management, combining graph algorithms with vector search for contextual retrieval.

• 1.Cypher Query Language: Pattern Matching, Aggregations, and Path-Finding for Business Logic10m
• 2.Graph Data Modeling: Entity Resolution, Relationship Design, and Schema Evolution Patterns10m
• 3.Neo4j Vector Index Integration: Combining Graph Traversal with Semantic Search10m

Architect production systems combining vector databases and knowledge graphs with monitoring, security, and scaling strategies for enterprise AI applications.

• 1.Hybrid Search Architecture: Combining Vector, Lexical, and Graph Retrieval for Complex Queries10m
• 2.Production Monitoring & Optimization: Latency Profiling, Cache Strategies, and Reranking Pipelines10m
• 3.Enterprise Security & Compliance: Access Control, Data Residency, and Audit Logging Patterns10m

Master indexing strategies, query optimization, and performance benchmarking for production vector databases.

• 1.Understanding Vector Indexing Algorithms10m
• 2.Query Optimization and Filtering Strategies10m
• 3.Performance Benchmarking and Monitoring10m
• 4.Cost Optimization and Resource Planning10m

Master production-grade integration patterns connecting vector databases with LLMs, orchestration frameworks, and multi-modal data pipelines.

• 1.LLM-Vector Database Integration Architecture10m
• 2.Multi-Modal Embeddings & Cross-Format Retrieval10m
• 3.Retrieval Evaluation Metrics & A/B Testing10m
• 4.Security, Compliance & Data Governance Patterns10m

Build production-grade retrieval-augmented generation systems combining vector databases and knowledge graphs for enterprise AI.

• 1.Hybrid Retrieval Strategies for RAG Systems10m
• 2.Embedding Model Selection and Fine-Tuning Strategies10m
• 3.Security, Access Control, and Compliance Patterns10m
• 4.Evaluation Frameworks and Continuous Improvement Pipelines10m

Operationalizing vector infrastructure with monitoring, security, versioning, and compliance for enterprise deployments.

• 1.Vector Database Monitoring & Observability Strategies10m
• 2.Vector Index Versioning & Blue-Green Deployment Patterns10m
• 3.Vector Security: Encryption, Access Control & Data Residency10m
• 4.Retrieval Quality Evaluation & Continuous Improvement Loops10m

Architect streaming vector pipelines with Kafka, Flink, and event-driven graph updates for dynamic enterprise knowledge.

• 1.Streaming Vector Ingestion with Kafka & Flink10m
• 2.Event-Driven Knowledge Graph Updates with Neo4j & Debezium10m
• 3.Hybrid Real-Time RAG with Vector-Graph Stream Joins10m
• 4.Operational Resilience & Observability for Streaming Systems10m

Implement enterprise-grade security, access control, encryption, and compliance for vector databases and knowledge graphs.

• 1.Access Control & Authentication in Vector Systems10m
• 2.Encryption, Data Masking & Privacy-Preserving Embeddings10m
• 3.Compliance Auditing: GDPR, HIPAA & SOC 2 Controls10m
• 4.Threat Modeling & Incident Response for Vector Systems10m

Advanced real-world implementations across financial services, healthcare, retail, and legal verticals.

• 1.Financial Services: Fraud Detection with Hybrid Vector-Graph10m
• 2.Healthcare: Clinical Decision Support with Multi-Modal Knowledge Graphs10m
• 3.Retail & E-Commerce: Personalization with Streaming Vector Updates10m
• 4.Legal Tech: Contract Intelligence & Precedent Discovery10m

Architecting next-generation hybrid platforms combining vector, graph, and agentic workflows for enterprise scale.

• 1.Multi-Index Vector Architectures for Global Enterprise10m
• 2.Graph-Augmented Retrieval for Complex Reasoning Tasks10m
• 3.Agentic Knowledge Systems with MCP & AutoGen10m
• 4.Future-Proofing Vector Infrastructure: Embeddings Evolution & Migration10m

Advanced domain-specific implementations across finance, healthcare, manufacturing, and legal sectors.

• 1.Financial Services: Fraud Detection & Risk Analysis10m
• 2.Healthcare & Life Sciences: Clinical Decision Support10m
• 3.Manufacturing & Supply Chain: Predictive Maintenance10m
• 4.Legal & Compliance: E-Discovery & Contract Intelligence10m

Advanced vector-graph architectures for fraud detection, regulatory compliance, and portfolio intelligence in banking.

• 1.Real-Time Fraud Detection with Hybrid Vector-Graph Systems10m
• 2.Regulatory Compliance Intelligence: Vector RAG for Policy Search10m
• 3.Portfolio Intelligence: Multi-Asset Knowledge Graphs with Semantic Search10m
• 4.Credit Underwriting: Vector-Enhanced Entity Resolution & Graph Analytics10m

Design and present a production-ready vector-graph system for a Fortune 500 multi-industry conglomerate.

• 1.Capstone Brief: GlobalTech Industries Architecture Challenge10m
• 2.Technical Architecture Deliverable & Infrastructure Design10m
• 3.90-Day Implementation Roadmap & FinOps Analysis10m
• 4.Executive Presentation & Business Value Articulation10m