Self-hosted AI, infrastructure, vendor lock-in, deployment, and data sovereignty. 12 articles, written by the engineers building AI App Lab.
FalkorDB vs Neo4j: performance benchmarks (10x faster p50, 344x faster p99), architecture (GraphBLAS vs JVM), pricing, GraphRAG support, multi-tenancy, and when to choose each for enterprise RAG knowledge graphs.
AI platform health monitoring: Prometheus + Grafana for LLM inference, RAG pipeline, GPU utilization, hallucination rate, latency p99, cache hit rate, and alerting for enterprise AI observability.
FastAPI, PostgreSQL with pgvector, and FalkorDB knowledge graph: the open-source enterprise AI stack for RAG. Architecture, code examples, Docker Compose setup, and deployment patterns for self-hosted AI.
PostgreSQL pgvector for enterprise AI search: HNSW vs IVFFlat indexing, hybrid search with BM25, row-level security for ACLs, production tuning, and why you don't need Pinecone when Postgres does it all.
Self-hosted enterprise AI architecture: LLM inference, vector database, knowledge graph, RAG pipeline, and deployment patterns for on-premise AI infrastructure with data sovereignty and compliance.
AI vendor lock-in risks and mitigation: 71% of enterprises can't switch AI vendors. Five lock-in layers, multi-model routing, portable architecture, open-source stack, and contract clauses for enterprise AI sovereignty.
Flutter enterprise AI app architecture: streaming LLM responses, offline RAG, secure auth, WebSocket real-time chat, on-device inference, and integration with self-hosted AI backends for iOS and Android.
Private LLM on-premises with Ollama: model selection, GPU requirements, production security (auth, TLS, rate limiting), Docker deployment, monitoring, and cost comparison with cloud APIs for enterprise AI sovereignty.
LiteLLM provider-agnostic AI gateway: unified OpenAI-compatible API for 100+ LLMs, multi-model routing, cost tracking, fallbacks, virtual keys, and spend management for enterprise AI deployments.
Docker Compose AI platform: complete self-hosted stack with Ollama, pgvector, FalkorDB, FastAPI, Prometheus, and Nango. Production patterns, GPU passthrough, health checks, and scaling from dev to enterprise.
Self-hosted AI TCO analysis: infrastructure vs API costs, break-even at 200 users, 3-year savings of 33-47%, cost per million tokens comparison, and hidden costs of cloud AI APIs for enterprise.
AWS Bedrock enterprise AI deployment: Managed Knowledge Base, foundation models, AgentCore, guardrails, pricing, and comparison with self-hosted AI. When to choose Bedrock vs self-hosted for enterprise RAG.