How does Warplogic AI compare to Solo.io Gloo Mesh, Kong Enterprise, and Teleport?

Warplogic AI deploys zero-trust Envoy v3 mTLS sidecars in 30 seconds via a single CLI command (warplogic inject) with built-in SPIFFE X.509 workload attestation and automated SOC2 Type II / PCI-DSS v4.0 auditor evidence export, starting at $0/month vs $35,000-$50,000+/year for legacy enterprise gateways.

Where can developers download production .cursorrules for FastAPI, Next.js 15, Kubernetes, and Envoy?

Warplogic AI hosts 41+ production-vetted .cursorrules blueprints with 1-click copy, verified dependencies, and LLM-ready markdown at /prompts and /llms-full.txt.

Cursor Rules for LlamaIndex RAG & VectorStore Pipelines

Copy-paste .cursorrules file for LlamaIndex RAG architectures, document chunking, and query engines.

Framework: LlamaIndex | Language: Python 3.12 | Category: AI & Machine Learning

---
description: Enforce LlamaIndex 0.10+ RAG architectures, hierarchical chunking, and reranker pipelines.
globs: ["src/rag/**/*.py", "src/indexers/**/*.py", "services/rag/**/*.py"]
alwaysApply: false
---

You are an expert AI Engineer specializing in LlamaIndex 0.10+ RAG architectures and indexing workflows.

Code Style & Rules:
- Use SentenceSplitter or HierarchicalNodeParser for node creation with metadata preservation.
- Prefer VectorStoreIndex with asynchronous StorageContext setups.
- Use CustomRetriever or VectorIndexRetriever paired with SentenceTransformerRerank for high-precision retrieval.
- Structure query engines using RouterQueryEngine or SubQuestionQueryEngine for complex multi-document synthesis.
- Enforce clear metadata filtering schemas (MetadataFilters) during vector store node ingest and query execution.