diff --git a/docs/my-website/docs/providers/perplexity_embedding.md b/docs/my-website/docs/providers/perplexity_embedding.md
new file mode 100644
index 00000000000..92981b2632e
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+++ b/docs/my-website/docs/providers/perplexity_embedding.md
@@ -0,0 +1,134 @@
+import Tabs from '@theme/Tabs';
+import TabItem from '@theme/TabItem';
+
+# Perplexity Embeddings
+
+https://docs.perplexity.ai/docs/embeddings/quickstart
+
+LiteLLM supports Perplexity's pplx-embed embedding models for web-scale text retrieval.
+
+## API Key
+
+```python
+# env variable
+os.environ['PERPLEXITYAI_API_KEY']
+```
+
+## Sample Usage - Embedding
+
+<Tabs>
+<TabItem value="sdk" label="SDK">
+
+```python
+from litellm import embedding
+import os
+
+os.environ['PERPLEXITYAI_API_KEY'] = ""
+
+response = embedding(
+    model="perplexity/pplx-embed-v1-0.6b",
+    input=["good morning from litellm"],
+)
+print(response)
+```
+
+</TabItem>
+<TabItem value="proxy" label="Proxy">
+
+1. Setup config.yaml
+
+```yaml
+model_list:
+  - model_name: pplx-embed-v1-0.6b
+    litellm_params:
+      model: perplexity/pplx-embed-v1-0.6b
+      api_key: os.environ/PERPLEXITYAI_API_KEY
+  - model_name: pplx-embed-v1-4b
+    litellm_params:
+      model: perplexity/pplx-embed-v1-4b
+      api_key: os.environ/PERPLEXITYAI_API_KEY
+```
+
+2. Start proxy
+
+```bash
+litellm --config /path/to/config.yaml
+```
+
+3. Test it!
+
+```bash
+curl http://0.0.0.0:4000/v1/embeddings \
+  -H "Content-Type: application/json" \
+  -H "Authorization: Bearer sk-1234" \
+  -d '{
+    "model": "pplx-embed-v1-0.6b",
+    "input": ["good morning from litellm"]
+  }'
+```
+
+</TabItem>
+</Tabs>
+
+## Supported Parameters
+
+Perplexity embeddings support the following optional parameters:
+
+| Parameter | Type | Description |
+|-----------|------|-------------|
+| `dimensions` | int | Output embedding dimensions. 128–1024 for 0.6b models, 128–2560 for 4b models. Defaults to max. |
+| `encoding_format` | string | `"base64_int8"` (default) or `"base64_binary"` for compressed output. |
+
+### Example with Parameters
+
+<Tabs>
+<TabItem value="sdk" label="SDK">
+
+```python
+from litellm import embedding
+import os
+
+os.environ['PERPLEXITYAI_API_KEY'] = ""
+
+response = embedding(
+    model="perplexity/pplx-embed-v1-4b",
+    input=["Your text here"],
+    dimensions=512,
+)
+print(f"Embedding dimensions: {len(response.data[0]['embedding'])}")
+```
+
+</TabItem>
+<TabItem value="proxy" label="Proxy">
+
+```bash
+curl http://0.0.0.0:4000/v1/embeddings \
+  -H "Content-Type: application/json" \
+  -H "Authorization: Bearer sk-1234" \
+  -d '{
+    "model": "pplx-embed-v1-4b",
+    "input": ["Your text here"],
+    "dimensions": 512
+  }'
+```
+
+</TabItem>
+</Tabs>
+
+## Supported Models
+
+All models listed on the [Perplexity Embeddings docs](https://docs.perplexity.ai/docs/embeddings/quickstart) are supported. Use `model=perplexity/<model-name>`.
+
+| Model Name | Dimensions | Max Tokens | Price (per 1M tokens) | Function Call |
+|---|---|---|---|---|
+| pplx-embed-v1-0.6b | 1024 | 32K | $0.004 | `embedding(model="perplexity/pplx-embed-v1-0.6b", input)` |
+| pplx-embed-v1-4b | 2560 | 32K | $0.03 | `embedding(model="perplexity/pplx-embed-v1-4b", input)` |
+
+### Key Specifications
+
+- **Max texts per request:** 512
+- **Max tokens per input:** 32,768
+- **Combined request limit:** 120,000 tokens
+- **Matryoshka dimension reduction** — reduce dimensions to 128+ for faster search and reduced storage
+- **No instruction prefix required** — embed text directly
+- **Unnormalized embeddings** — use cosine similarity for comparison
diff --git a/docs/my-website/sidebars.js b/docs/my-website/sidebars.js
index ce1ee0383a9..da96da73578 100644
--- a/docs/my-website/sidebars.js
+++ b/docs/my-website/sidebars.js
@@ -876,7 +876,14 @@ const sidebars = {
         "providers/openrouter",
         "providers/sarvam",
         "providers/ovhcloud",
-        "providers/perplexity",
+        {
+          type: "category",
+          label: "Perplexity AI",
+          items: [
+            "providers/perplexity",
+            "providers/perplexity_embedding",
+          ]
+        },
         "providers/petals",
         "providers/poe",
         "providers/publicai",