feat(ts-sdk): add Upstash Vector vector store (#5811)

Co-authored-by: kartik-mem0 <kartik.labhshetwar@mem0.ai>

docs/components/vectordbs/dbs/upstash-vector.mdx

@@ -8,6 +8,10 @@ description: "Use Upstash Vector as a serverless vector database in Mem0 with op
 
 You can enable the built-in embedding models by setting `enable_embeddings` to `True`. This allows you to use Upstash's embedding models for vectorization.
 
+<Note>
+    Server-side Upstash embeddings (`enable_embeddings`) are available in the Python SDK only. The TypeScript SDK always embeds text with your configured embedder before writing to Upstash, so use the external embedding provider setup below.
+</Note>
+
 ```python
 import os
 from mem0 import Memory
@@ -34,7 +38,8 @@ m.add("Likes to play cricket on weekends", user_id="alice", metadata={"category"
 
 ### Usage with external embedding providers
 
-```python
+<CodeGroup>
+```python Python
 import os
 from mem0 import Memory
 
@@ -58,6 +63,36 @@ m = Memory.from_config(config)
 m.add("Likes to play cricket on weekends", user_id="alice", metadata={"category": "hobbies"})
 ```
 
+```typescript TypeScript
+import { Memory } from "mem0ai/oss";
+
+// Set OPENAI_API_KEY, UPSTASH_VECTOR_REST_URL, and UPSTASH_VECTOR_REST_TOKEN in your environment.
+const config = {
+  embedder: {
+    provider: "openai",
+    config: {
+      apiKey: process.env.OPENAI_API_KEY,
+      model: "text-embedding-3-large",
+    },
+  },
+  vectorStore: {
+    provider: "upstash_vector",
+    config: {
+      collectionName: "memories",
+      url: process.env.UPSTASH_VECTOR_REST_URL,
+      token: process.env.UPSTASH_VECTOR_REST_TOKEN,
+    },
+  },
+};
+
+const memory = new Memory(config);
+await memory.add("Likes to play cricket on weekends", {
+  userId: "alice",
+  metadata: { category: "hobbies" },
+});
+```
+</CodeGroup>
+
 ### Config
 
 Here are the parameters available for configuring Upstash Vector:
@@ -74,3 +109,7 @@ Here are the parameters available for configuring Upstash Vector:
   When `url` and `token` are not provided, the `UPSTASH_VECTOR_REST_URL` and
   `UPSTASH_VECTOR_REST_TOKEN` environment variables are used.
 </Note>
+
+<Note>
+  The TypeScript SDK uses camelCase config keys (`collectionName`, `url`, `token`), where `collectionName` is required. Pass `url` and `token` (or a preconfigured `client`) explicitly, since the TypeScript SDK does not read them from environment variables. `enable_embeddings` is not supported in TypeScript.
+</Note>