Revision

Author: databyjp

docs/weaviate/model-providers/_includes/provider.generative.py

@@ -464,9 +464,9 @@ def import_data():
         # # These parameters are optional
         # model="v2",
         # temperature=0.7,
-        # max_tokens=500,
-        # top_p=0.5,
-        # system_prompt="You are a ..."
+        # max_tokens=1024,
+        # top_p=0.9,
+        # system_prompt="You are a helpful assistant"
         # avoid_commentary=True,
     )
     # highlight-end
@@ -492,9 +492,9 @@ def import_data():
         # # These parameters are optional
         # model="v2",
         # temperature=0.7,
-        # max_tokens=500,
-        # top_p=0.5,
-        # system_prompt="You are a ..."
+        # max_tokens=1024,
+        # top_p=0.9,
+        # system_prompt="You are a helpful assistant"
         # avoid_commentary=True,
     ),
     # Additional parameters not shown

docs/weaviate/model-providers/_includes/provider.generative.ts

@@ -417,9 +417,9 @@ await client.collections.create({
     // These parameters are optional
     model: 'v2',
     // temperature: 0.7,
-    // maxTokens: 500,
-    // topP: 5,
-    // systemPrompt: 'You are a ...',
+    // maxTokens: 1024,
+    // topP: 0.9,
+    // systemPrompt: 'You are a helpful assistant',
     // avoidCommentary: true,
   }),
   // highlight-end
@@ -435,9 +435,9 @@ response = await myCollection.generate.nearText("A holiday film", {
     // These parameters are optional
     // model: 'v2',
     // temperature: 0.7,
-    // maxTokens: 500,
-    // topP: 5,
-    // systemPrompt: 'You are a ...',
+    // maxTokens: 1024,
+    // topP: 0.9,
+    // systemPrompt: 'You are a helpful assistant',
     // avoidCommentary: true,
   }),
   // highlight-end

docs/weaviate/model-providers/_includes/provider.reranker.py

@@ -82,7 +82,9 @@
     "DemoCollection",
     # highlight-start
     reranker_config=Configure.Reranker.contextualai(
-        model="ctxl-rerank-v2-instruct-multilingual"
+        model="ctxl-rerank-v2-instruct-multilingual",
+        instruction="Prioritize internal sales documents over market analysis reports. More recent documents should be weighted higher.",
+        top_n=5
     )
     # highlight-end
     # Additional parameters not shown

docs/weaviate/model-providers/_includes/provider.reranker.ts

@@ -56,6 +56,8 @@ await client.collections.create({
   // highlight-start
   reranker: weaviate.configure.reranker.contextualai({
     model: 'ctxl-rerank-v2-instruct-multilingual',
+    instruction: 'Prioritize internal sales documents over market analysis reports. More recent documents should be weighted higher.',
+    topN: 5,
   }),
   // highlight-end
 });

docs/weaviate/model-providers/contextualai/generative.md

@@ -8,6 +8,8 @@ image: og/docs/integrations/provider_integrations_contextualai.jpg
 
 # Contextual AI Generative AI with Weaviate
 
+:::info Added in `v1.34.0`
+:::
 
 import Tabs from '@theme/Tabs';
 import TabItem from '@theme/TabItem';

docs/weaviate/model-providers/contextualai/reranker.md

@@ -8,6 +8,8 @@ image: og/docs/integrations/provider_integrations_contextualai.jpg
 
 # Contextual AI Reranker Models with Weaviate
 
+:::info Added in `v1.34.0`
+:::
 
 import Tabs from '@theme/Tabs';
 import TabItem from '@theme/TabItem';
@@ -179,7 +181,7 @@ Any search in Weaviate can be combined with a reranker to perform reranking oper
 
 - `ctxl-rerank-v1-instruct`
 - `ctxl-rerank-v2-instruct-multilingual-mini`
-- `ctxl-rerank-v2-instruct-multilingual`
+- `ctxl-rerank-v2-instruct-multilingual` (default)
 
 ## Further resources