VAP-2295 [DOCS] Update KB & Bring your own trieve docs for new schema (#153)

* docs: kb v2

* img path

Author: rumbleFTW

fern/community/knowledgebase.mdx

@@ -28,7 +28,7 @@ Navigate to Platform > Files and upload your custom files in Markdown, PDF, plai
 
 <Frame caption="Adding files to your Knowledge Base">
   <img
-    src="../static/images/knowledge-base/files.png"
+    src="/static/images/knowledge-base/files.png"
     alt="Adding files to your Knowledge Base"
   />
 </Frame>
@@ -46,20 +46,28 @@ curl --location 'https://api.vapi.ai/file' \
 Use the ID of the uploaded file to create a Knowledge Base. Currently we support [trieve](https://trieve.ai) as a provider.
 
 ```bash
-curl --location 'https://api.vapi.ai/knowledge-base' \
+curl --location 'http://localhost:3001/knowledge-base' \
 --header 'Content-Type: text/plain' \
---header 'Authorization: Bearer <YOUR_API_KEY>' \
+--header 'Authorization: Bearer 4beb7e10-f4be-4588-be65-712235f07f68' \
 --data '{
-    "name": "knowledge-base-test",
+    "name": "v2",
     "provider": "trieve",
-    "vectorStoreSearchPlan": {
-        "scoreThreshold": 0.1,
-        "searchType": "hybrid"
+    "searchPlan": {
+        "scoreThreshold": 0.2,
+        "searchType": "semantic"
     },
-    "vectorStoreCreatePlan": {
-        "fileIds": ["<FILE_ID>"]
+    "createPlan": {
+        "type": "create",
+        "chunkPlans": [
+            {
+                "fileIds": ["<FILE_ID_1>", "<FILE_ID_2>"],
+                "websites": ["<WEBSITE_1>", "<WEBSITE_2>"],
+                "targetSplitsPerChunk": 50,
+                "rebalanceChunks": true
+            }
+        ]
     }
-}'
+}''
 ```
 
 ### **Step 3: Create an Assistant**

fern/customization/bring-your-own-vectors/trieve.mdx

@@ -34,21 +34,24 @@ You might want to use both Trieve's native interface and Vapi simultaneously:
 2. **Create a New Knowledge Base**
 
    - When setting up a new knowledge base, provide:
-     - Your Trieve datasetId as the vectorStoreProviderId
-     - Appropriate search configuration parameters
-   - Vapi will then connect to your existing Trieve vectors
+     - Your Trieve datasetId as the providerId.
+     - Appropriate search configuration parameters.
+     - Vapi will then automatically use your Trieve dataset as the knowledge base.
 
    Example configuration:
 
    ```json
    {
-     "name": "byok-test",
+     "name": "trieve-byok",
      "provider": "trieve",
-     "vectorStoreSearchPlan": {
+     "searchPlan": {
        "scoreThreshold": 0.2,
        "searchType": "semantic"
      },
-     "vectorStoreProviderId": "<Your datasetId from Trieve>"
+     "createPlan": {
+       "type": "import",
+       "providerId": "<Your datasetId from Trieve>"
+     }
    }
    ```
 

fern/customization/knowledgebase.mdx

@@ -28,7 +28,7 @@ Navigate to Platform > Files and upload your custom files in Markdown, PDF, plai
 
 <Frame caption="Adding files to your Knowledge Base">
   <img
-    src="../static/images/knowledge-base/files.png"
+    src="./static/images/knowledge-base/files.png"
     alt="Adding files to your Knowledge Base"
   />
 </Frame>
@@ -46,20 +46,28 @@ curl --location 'https://api.vapi.ai/file' \
 Use the ID of the uploaded file to create a Knowledge Base. Currently we support [trieve](https://trieve.ai) as a provider.
 
 ```bash
-curl --location 'https://api.vapi.ai/knowledge-base' \
+curl --location 'http://localhost:3001/knowledge-base' \
 --header 'Content-Type: text/plain' \
---header 'Authorization: Bearer <YOUR_API_KEY>' \
+--header 'Authorization: Bearer 4beb7e10-f4be-4588-be65-712235f07f68' \
 --data '{
-    "name": "knowledge-base-test",
+    "name": "v2",
     "provider": "trieve",
-    "vectorStoreSearchPlan": {
-        "scoreThreshold": 0.1,
-        "searchType": "hybrid"
+    "searchPlan": {
+        "scoreThreshold": 0.2,
+        "searchType": "semantic"
     },
-    "vectorStoreCreatePlan": {
-        "fileIds": ["<FILE_ID>"]
+    "createPlan": {
+        "type": "create",
+        "chunkPlans": [
+            {
+                "fileIds": ["<FILE_ID_1>", "<FILE_ID_2>"],
+                "websites": ["<WEBSITE_1>", "<WEBSITE_2>"],
+                "targetSplitsPerChunk": 50,
+                "rebalanceChunks": true
+            }
+        ]
     }
-}'
+}''
 ```
 
 ### **Step 3: Create an Assistant**

fern/knowledgebase.mdx

@@ -46,20 +46,28 @@ curl --location 'https://api.vapi.ai/file' \
 Use the ID of the uploaded file to create a Knowledge Base. Currently we support [trieve](https://trieve.ai) as a provider.
 
 ```bash
-curl --location 'https://api.vapi.ai/knowledge-base' \
+curl --location 'http://localhost:3001/knowledge-base' \
 --header 'Content-Type: text/plain' \
---header 'Authorization: Bearer <YOUR_API_KEY>' \
+--header 'Authorization: Bearer 4beb7e10-f4be-4588-be65-712235f07f68' \
 --data '{
-    "name": "knowledge-base-test",
+    "name": "v2",
     "provider": "trieve",
-    "vectorStoreSearchPlan": {
-        "scoreThreshold": 0.1,
-        "searchType": "hybrid"
+    "searchPlan": {
+        "scoreThreshold": 0.2,
+        "searchType": "semantic"
     },
-    "vectorStoreCreatePlan": {
-        "fileIds": ["<FILE_ID>"]
+    "createPlan": {
+        "type": "create",
+        "chunkPlans": [
+            {
+                "fileIds": ["<FILE_ID_1>", "<FILE_ID_2>"],
+                "websites": ["<WEBSITE_1>", "<WEBSITE_2>"],
+                "targetSplitsPerChunk": 50,
+                "rebalanceChunks": true
+            }
+        ]
     }
-}'
+}''
 ```
 
 ### **Step 3: Create an Assistant**