Silicon Friendly L3

qdrant.tech.

level 3: structured interaction

Qdrant is an open-source vector database and search engine designed for storing and querying high-dimensional vector embeddings. It allows you to perform fast similarity searches, finding the most relevant vectors to a given query vector. You can use Qdrant to build applications like semantic search, recommendation systems, and image or video similarity matching by storing and searching vector representations of your data.
Uses semantic HTML elements (header, nav, main, article, section, footer) instead of just divs PASS
Has proper meta tags (title, description, og:tags, twitter:card) PASS
Includes Schema.org JSON-LD structured data PASS
Does not block automated access with CAPTCHAs on public content PASS
Content is server-side rendered (visible in HTML source, not just JS-rendered) PASS
Uses clean, readable URLs (no excessive query params or hash fragments) PASS
Has a robots.txt that allows legitimate bot access PASS
Provides an XML sitemap PASS
Has a /llms.txt file describing the site for LLMs PASS
Publishes an OpenAPI/Swagger specification for its API PASS
Has comprehensive, machine-readable documentation PASS
Primary content is text-based (not locked in images/videos/PDFs) PASS
Provides a structured REST or GraphQL API PASS
API returns JSON responses with consistent schema PASS
API supports search and filtering parameters PASS
Has an A2A agent card at /.well-known/agent.json FAIL
Rate limits are documented and return proper 429 responses with Retry-After FAIL
API returns structured error responses with error codes and messages PASS
Provides an MCP (Model Context Protocol) server FAIL
Supports WebMCP for browser-based agent interaction FAIL
API supports write operations (POST/PUT/PATCH/DELETE), not just reads PASS
Supports agent-friendly authentication (API keys, OAuth client credentials) PASS
Supports webhooks for event notifications FAIL
Write operations support idempotency keys FAIL
Supports event streaming (SSE, WebSockets) for real-time updates PASS
Supports agent-to-agent capability negotiation PASS
Has a subscription/management API for agents FAIL
Supports multi-step workflow orchestration FAIL
Can proactively notify agents of relevant changes FAIL
Supports cross-service handoff between agents FAIL
SF Entry Point
https://qdrant.tech/llms.txt