Command → SDK map

Everything you can type as a DSL command (in the CLI) has a matching method call in each client library. With the AI proxy the big difference from raw DB usage is that you pass raw text (or images/audio) instead of vectors — the proxy embeds it for you either way, CLI or SDK.

Pick your language once with the tabs below and it stays selected across the page.

note

Signatures here are simplified to show the shape of each call. For full, runnable examples, follow each command's Stores operation page and choose the AI proxy tab.

One operation, every language

Creating a model-aware store (an index model to embed stored items, a query model to embed searches):

CLI (DSL)

$CREATESTORE article_store QUERYMODEL all-minilm-l6-v2 INDEXMODEL all-minilm-l6-v2

Python

Python

client.create_store("article_store", index_model="all-minilm-l6-v2", query_model="all-minilm-l6-v2")

Node.js

JavaScript

await client.createStore("article_store", "all-minilm-l6-v2", "all-minilm-l6-v2");

Go

Go

client.CreateStore(ctx, "article_store", "all-minilm-l6-v2", "all-minilm-l6-v2")

Rust

Rust

client.create_store("article_store", "all-minilm-l6-v2", "all-minilm-l6-v2")?;

Full command map

Python

Server & system

Command	Python
PING	client.ping()
INFO SERVER	client.info_server()

Store management

Command	Python
LIST STORES	client.list_stores()
GETSTORE article_store	client.get_store("article_store")
CREATESTORE … QUERYMODEL … INDEXMODEL …	client.create_store("article_store", index_model="all-minilm-l6-v2", query_model="all-minilm-l6-v2")
DROPSTORE article_store	client.drop_store("article_store")

Data operations

Command	Python
SET doc1 "…text…" WITH {...} IN article_store	client.set("article_store", "doc1", "The future of AI in healthcare", {"category": "news"})
DELKEY doc1 IN article_store	client.delete_key("article_store", "doc1")

Query & retrieval

Command	Python
GETSIMN 3 WITH ["…text…"] USING cosine IN article_store	client.get_sim_n("article_store", "renewable energy storage", 3, "cosine", predicate="category!='sports'")
GETKEY doc1 IN article_store	client.get_key("article_store", "doc1")
GETPRED (category='news') IN article_store	client.get_by_predicate("article_store", "category='news'")

Index management

Command	Python
CREATEPREDINDEX (category) IN article_store	client.create_predicate_index("article_store", "category")
DROPPREDINDEX (category) IN article_store	client.drop_predicate_index("article_store", "category")
CREATENONLINEARALGORITHMINDEX (hnsw) IN article_store	client.create_non_linear_algorithm_index("article_store", NonLinearIndex(hnsw=HNSWConfig()))
DROPNONLINEARALGORITHMINDEX (hnsw) IN article_store	client.drop_non_linear_algorithm_index("article_store", "hnsw")

Node.js

Server & system

Command	Node.js
PING	await client.ping()
INFO SERVER	await client.infoServer()

Store management

Command	Node.js
LIST STORES	await client.listStores()
GETSTORE article_store	await client.getStore("article_store")
CREATESTORE … QUERYMODEL … INDEXMODEL …	await client.createStore("article_store", "all-minilm-l6-v2", "all-minilm-l6-v2")
DROPSTORE article_store	await client.dropStore("article_store")

Data operations

Command	Node.js
SET doc1 "…text…" WITH {...} IN article_store	await client.set("article_store", "doc1", "The future of AI in healthcare", {category: "news"})
DELKEY doc1 IN article_store	await client.delKey("article_store", "doc1")

Query & retrieval

Command	Node.js
GETSIMN 3 WITH ["…text…"] USING cosine IN article_store	await client.getSimN("article_store", "renewable energy storage", 3, "cosine", "category!='sports'")
GETKEY doc1 IN article_store	await client.getKey("article_store", "doc1")
GETPRED (category='news') IN article_store	await client.getPred("article_store", "category='news'")

Index management

Command	Node.js
CREATEPREDINDEX (category) IN article_store	await client.createPredIndex("article_store", "category")
DROPPREDINDEX (category) IN article_store	await client.dropPredIndex("article_store", "category")
CREATENONLINEARALGORITHMINDEX (hnsw) IN article_store	await client.createNonLinearAlgorithmIndex("article_store", hnsw)
DROPNONLINEARALGORITHMINDEX (hnsw) IN article_store	await client.dropNonLinearAlgorithmIndex("article_store", "hnsw")

Go

Server & system

Command	Go
PING	client.Ping(ctx)
INFO SERVER	client.InfoServer(ctx)

Store management

Command	Go
LIST STORES	client.ListStores(ctx)
GETSTORE article_store	client.GetStore(ctx, "article_store")
CREATESTORE … QUERYMODEL … INDEXMODEL …	client.CreateStore(ctx, "article_store", "all-minilm-l6-v2", "all-minilm-l6-v2")
DROPSTORE article_store	client.DropStore(ctx, "article_store")

Data operations

Command	Go
SET doc1 "…text…" WITH {...} IN article_store	client.Set(ctx, "article_store", "doc1", "The future of AI in healthcare", map[string]string{"category": "news"})
DELKEY doc1 IN article_store	client.DeleteKey(ctx, "article_store", "doc1")

Query & retrieval

Command	Go
GETSIMN 3 WITH ["…text…"] USING cosine IN article_store	client.GetSimN(ctx, "article_store", "renewable energy storage", 3, "cosine", "category!='sports'")
GETKEY doc1 IN article_store	client.GetKey(ctx, "article_store", "doc1")
GETPRED (category='news') IN article_store	client.GetByPredicate(ctx, "article_store", "category='news'")

Index management

Command	Go
CREATEPREDINDEX (category) IN article_store	client.CreatePredicateIndex(ctx, "article_store", "category")
DROPPREDINDEX (category) IN article_store	client.DropPredicateIndex(ctx, "article_store", "category")
CREATENONLINEARALGORITHMINDEX (hnsw) IN article_store	client.CreateNonLinearAlgorithmIndex(ctx, "article_store", NonLinearIndex_Hnsw)
DROPNONLINEARALGORITHMINDEX (hnsw) IN article_store	client.DropNonLinearAlgorithmIndex(ctx, "article_store", "hnsw")

Rust

Server & system

Command	Rust
PING	client.ping()?;
INFO SERVER	client.info_server()?;

Store management

Command	Rust
LIST STORES	client.list_stores()?;
GETSTORE article_store	client.get_store("article_store")?;
CREATESTORE … QUERYMODEL … INDEXMODEL …	client.create_store("article_store", "all-minilm-l6-v2", "all-minilm-l6-v2")?;
DROPSTORE article_store	client.drop_store("article_store")?;

Data operations

Command	Rust
SET doc1 "…text…" WITH {...} IN article_store	client.set("article_store", "doc1", "The future of AI in healthcare", hashmap!{"category" => "news"})?;
DELKEY doc1 IN article_store	client.delete_key("article_store", "doc1")?;

Query & retrieval

Command	Rust
GETSIMN 3 WITH ["…text…"] USING cosine IN article_store	client.get_sim_n("article_store", "renewable energy storage", 3, "cosine", Some("category!='sports'"))?;
GETKEY doc1 IN article_store	client.get_key("article_store", "doc1")?;
GETPRED (category='news') IN article_store	client.get_by_predicate("article_store", "category='news'")?;

Index management

Command	Rust
CREATEPREDINDEX (category) IN article_store	client.create_predicate_index("article_store", "category")?;
DROPPREDINDEX (category) IN article_store	client.drop_predicate_index("article_store", "category")?;
CREATENONLINEARALGORITHMINDEX (hnsw) IN article_store	client.create_non_linear_algorithm_index("article_store", NonLinearIndex { hnsw })?;
DROPNONLINEARALGORITHMINDEX (hnsw) IN article_store	client.drop_non_linear_algorithm_index("article_store", "hnsw")?;

Next steps

• Command reference — what each command does.
• Client libraries — install and set up your SDK.
• Stores operations — full runnable examples per operation.