emdb-namespaces
List and manage namespaces in EmergentDB. Use when the user wants to see their namespaces, organize vectors into groups, or understand namespace isolation.
ソース情報
- リポジトリ
- justrach/emergent-sdk
- ソースの最終更新活動
- 2026年2月23日 18:35
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ソースの指示 · 読み取り専用プレビュー- name
- emdb-namespaces
- description
- List and manage namespaces in EmergentDB. Use when the user wants to see their namespaces, organize vectors into groups, or understand namespace isolation.
- allowed-tools
- Bash, Read, Write, Edit
# Namespaces in EmergentDB
Help the user work with namespaces to organize vectors into isolated groups.
## TypeScript SDK
```typescript
import { EmergentDB } from "emergentdb";
const db = new EmergentDB("emdb_your_api_key");
// List all namespaces
const namespaces = await db.listNamespaces();
// ["default", "production", "staging"]
// Insert into a namespace (creates it automatically)
await db.insert(1, embedding, { title: "Doc" }, "production");
// Search within a namespace
const results = await db.search(queryVec, {
k: 10,
includeMetadata: true,
namespace: "production",
});
// Batch insert into a namespace
await db.batchInsert(vectors, "staging");
```
## Python SDK
```python
from emergentdb import EmergentDB
db = EmergentDB("emdb_your_api_key")
# List all namespaces
namespaces = db.list_namespaces()
# ["default", "production", "staging"]
# Insert into a namespace (creates it automatically)
db.insert(1, embedding, metadata={"title": "Doc"}, namespace="production")
# Search within a namespace
results = db.search(query_vec, k=10, include_metadata=True, namespace="production")
# Batch insert into a namespace
db.batch_insert(vectors, namespace="staging")
```
## Key Details
- **Auto-created**: Namespaces are created automatically on first insert. No setup required.
- **Isolation**: Vectors in one namespace are completely invisible to searches in another.
- **Default namespace**: If no namespace is specified, operations use `"default"`.
- **Naming**: Namespace names are strings up to 64 characters.
- **Listing**: `listNamespaces()` / `list_namespaces()` returns all namespaces for your account.
## Plans & Limits
| Plan | Vectors | Price |
|------|---------|-------|
| Free | 10,000 | $0/mo |
| Launch | 500,000 | $29/mo |
| Scale | 2,500,000 | $99/mo |
Namespaces share your account's total vector quota. Upgrade from the billing page.
## Common Pattern: Multi-Environment Setup
```python
from emergentdb import EmergentDB
db = EmergentDB("emdb_your_api_key")
# Separate environments by namespace
for doc in documents:
db.insert(doc["id"], doc["embedding"], metadata=doc["meta"], namespace="staging")
# Promote to production when ready
for doc in documents:
db.insert(doc["id"], doc["embedding"], metadata=doc["meta"], namespace="production")
```
When helping the user, suggest namespaces for organizing data by environment, tenant, or data type.
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