Description
Enterprise AI Agent & LLM Orchestration Architecture Kit
Scale autonomous AI agents across your organization without data leakage or hallucinations. This enterprise kit delivers a proven Python/FastAPI microservice runtime featuring ReAct planning loops, hybrid vector search (Qdrant + BM25), and OWASP LLM security guardrails.
📦 What is Included in this Downloadable Package:
- Enterprise_AI_Agent_Architecture_Mastery.pdf: 50+ page executive masterclass blueprint covering autonomous ReAct planning loops, Reciprocal Rank Fusion (RRF), adversarial prompt injection defense, and streaming latency optimization.
- Python Agent Microservice (
/python-agent-engine): Production FastAPI server with Server-Sent Events (SSE) streaming, async tool execution sandbox, and automated PII scrubbing. - Hybrid Dense + Sparse RAG Engine (
/python-agent-engine/rag_pipeline.py): High-precision retrieval combining semantic vector search with exact lexical BM25 matching and reciprocal ranking. - Automated Evaluation Benchmark Suite (
/benchmarks-and-eval): Quantitative test harness measuring faithfulness, context recall, and latency metrics across golden enterprise datasets. - Turnkey Docker Compose Stack (
/deployment): Pre-configured Docker orchestration linking the agent engine, Qdrant vector database, and Redis session cache.
⚡ Technical Specifications:
- Runtime: Python 3.10+, FastAPI, Uvicorn, AsyncIO
- Vector Database: Qdrant 1.9+ / Pinecone compatible
- Retrieval Strategy: Hybrid Dense Vector + BM25 Lexical + Reciprocal Rank Fusion
- Guardrails: Deterministic regex PII masking and prompt injection detection
