Examples

The repository examples are executable applications, not duplicated snippets inside the documentation site.

Example	Language / backend	What it demonstrates
`examples/python`	Python (`pyqql`)	Python basics through advanced retrieval: `basic_to_medium.py` (parse → `is_valid` → `explain` → `compile_query` → `inject_filter` → shard key) and `medium_to_expert.py`. Offline — no Qdrant needed.
`examples/nodejs`	Node.js (`@veristamp/nqql`)	Node.js parser and runtime APIs: `basic_to_medium.mjs` and `medium_to_expert.mjs`.
`examples/rust`	Rust (`qql-core`)	`basic_to_medium` (`Parser::parse` + `inject_filter` + `set_shard_key`) and `medium_to_expert` (fail-closed multi-tenant gateway with a per-user `tenant_id` plus a `status` predicate).
`examples/wasm`	WebAssembly (`qql-wasm`)	WASM `parse` / `analyze` / `compile` / `explain` and `Stmt.injectFilter`.
`examples/edge-demo`	qql CLI `--edge`	In-process edge execution with the qql CLI. Requires an edge-enabled build (`--features edge`).
`examples/airbnb-demo`	Python (`pyqql`) + Qdrant + Ollama	Berlin geo search: `GEO_RADIUS` / `GEO_BBOX` / `GEO_POLYGON`, hybrid search, turbo binary quantization with rescore.
`examples/medical-retrieval-ops`	qql CLI + Qdrant	Provisions the ChatMED RAGCare-QA benchmark and runs retrieval checks.
`examples/medical-showcase`	qql CLI + Qdrant	12-record end-to-end: hybrid, filters, ACORN, timeout/consistency, grouped retrieval, recommend, context, discover, CTE prefetch DAGs, mutations, `DELETE PAYLOAD`, `SCROLL WITH VECTOR`, `COUNT` exact.
`examples/sec10k-qql`	Python (`pyqql`) + Qdrant + Ollama/LM Studio	Flagship multi-tenant hybrid RAG over SEC 10-K filings: `CREATE SHARD KEY`, `is_tenant` index, `SHARD` + `WHERE tenant_id`, fail-closed `inject_filter`, agent tool-use.

Browse the examples directory on GitHub.

QQLRepresentative geo queryTry in playground

QUERY TEXT 'quiet apartment near transit' FROM listings
USING dense
WHERE location GEO_RADIUS {
  center: {lat: 52.52, lon: 13.405},
  radius: 5000.0
}
WITH PAYLOAD INCLUDE (name, neighbourhood, price)
LIMIT 10;

When adding an example, keep its QQL compatible with language/v1, document the required backend and models, and provide a deterministic setup path.