20240916 mistral text vectorizer (#2607)

* wip * Add images; index pages; placeholder emb page * Add mistral embed page; add more xlinks
weaviate · Sep 16, 2024 · 0f9c8ec · 0f9c8ec
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diff --git a/developers/weaviate/model-providers/_includes/integration_mistral_embedding.png b/developers/weaviate/model-providers/_includes/integration_mistral_embedding.png
diff --git a/...ers/weaviate/model-providers/_includes/integration_mistral_embedding_search.png b/...ers/weaviate/model-providers/_includes/integration_mistral_embedding_search.png
diff --git a/developers/weaviate/model-providers/_includes/provider.vectorizer.py b/developers/weaviate/model-providers/_includes/provider.vectorizer.py
@@ -398,6 +398,47 @@
 # clean up
 client.collections.delete("DemoCollection")
 
+# START BasicVectorizerMistral
+from weaviate.classes.config import Configure
+
+client.collections.create(
+    "DemoCollection",
+    # highlight-start
+    vectorizer_config=[
+        Configure.NamedVectors.text2vec_mistral(
+            name="title_vector",
+            source_properties=["title"],
+        )
+    ],
+    # highlight-end
+    # Additional parameters not shown
+)
+# END BasicVectorizerMistral
+
+# clean up
+client.collections.delete("DemoCollection")
+
+# START FullVectorizerMistral
+from weaviate.classes.config import Configure
+
+client.collections.create(
+    "DemoCollection",
+    # highlight-start
+    vectorizer_config=[
+        Configure.NamedVectors.text2vec_mistral(
+            name="title_vector",
+            source_properties=["title"],
+            model="mistral-embed"
+        )
+    ],
+    # highlight-end
+    # Additional parameters not shown
+)
+# END FullVectorizerMistral
+
+# clean up
+client.collections.delete("DemoCollection")
+
 # START BasicVectorizerOctoAI
 from weaviate.classes.config import Configure
 

diff --git a/developers/weaviate/model-providers/_includes/provider.vectorizer.ts b/developers/weaviate/model-providers/_includes/provider.vectorizer.ts
@@ -473,6 +473,20 @@ await client.collections.create({
 // Clean up
 await client.collections.delete('DemoCollection');
 
+// START BasicVectorizerMistral
+// TS support & code example coming soon
+// END BasicVectorizerMistral
+
+// Clean up
+await client.collections.delete('DemoCollection');
+
+// START FullVectorizerMistral
+// TS support & code example coming soon
+// END FullVectorizerMistral
+
+// Clean up
+await client.collections.delete('DemoCollection');
+
 // START BasicVectorizerOctoAI
 // Code example coming soon
 // END BasicVectorizerOctoAI
@@ -621,7 +635,7 @@ await client.collections.create({
         name: 'title_vector',
         sourceProperties: ['title'],
         resourceName: '<azure-resource-name>',
-        deploymentID: '<azure-deployment-id>',
+        deploymentId: '<azure-deployment-id>',
       },
     ),
   ],
@@ -648,7 +662,7 @@ await client.collections.create({
         name: 'title_vector',
         sourceProperties: ['title'],
         resourceName: '<azure-resource-name>',
-        deploymentID: '<azure-deployment-id>',
+        deploymentId: '<azure-deployment-id>',
         // // Further options
         // baseURL: '<custom_azure_url>'
       },

diff --git a/developers/weaviate/model-providers/anthropic/index.md b/developers/weaviate/model-providers/anthropic/index.md
@@ -5,6 +5,7 @@ image: og/docs/integrations/provider_integrations_anthropic.jpg
 # tags: ['model providers', 'anthropic']
 ---
 
+<!-- Note: for images, use https://docs.google.com/presentation/d/15opIcJuaIjEEcs_1Zm8B6pccox2p7_MHSjCnRv4dPfU/edit?usp=sharing -->
 
 Anthropic offers a wide range of models for natural language processing and generation. Weaviate seamlessly integrates with Anthropic's APIs, allowing users to leverage Anthropic's models directly within the Weaviate database.
 

diff --git a/developers/weaviate/model-providers/anyscale/index.md b/developers/weaviate/model-providers/anyscale/index.md
@@ -5,6 +5,7 @@ image: og/docs/integrations/provider_integrations_anyscale.jpg
 # tags: ['model providers', 'anyscale']
 ---
 
+<!-- Note: for images, use https://docs.google.com/presentation/d/15opIcJuaIjEEcs_1Zm8B6pccox2p7_MHSjCnRv4dPfU/edit?usp=sharing -->
 
 Anyscale offers a wide range of models for natural language processing and generation. Weaviate seamlessly integrates with Anyscale's Endpoints APIs, allowing users to leverage Anyscale's models directly within the Weaviate database.
 

diff --git a/developers/weaviate/model-providers/aws/index.md b/developers/weaviate/model-providers/aws/index.md
@@ -5,6 +5,7 @@ image: og/docs/integrations/provider_integrations_aws.jpg
 # tags: ['model providers', 'aws']
 ---
 
+<!-- Note: for images, use https://docs.google.com/presentation/d/15opIcJuaIjEEcs_1Zm8B6pccox2p7_MHSjCnRv4dPfU/edit?usp=sharing -->
 
 AWS offers a wide range of models for natural language processing and generation. Weaviate seamlessly integrates with AWS's APIs, allowing users to leverage AWS's models directly within the Weaviate database.
 

diff --git a/developers/weaviate/model-providers/cohere/index.md b/developers/weaviate/model-providers/cohere/index.md
@@ -5,6 +5,7 @@ image: og/docs/integrations/provider_integrations_cohere.jpg
 # tags: ['model providers', 'cohere']
 ---
 
+<!-- Note: for images, use https://docs.google.com/presentation/d/15opIcJuaIjEEcs_1Zm8B6pccox2p7_MHSjCnRv4dPfU/edit?usp=sharing -->
 
 Cohere offers a wide range of models for natural language processing and generation. Weaviate seamlessly integrates with Cohere's APIs, allowing users to leverage Cohere's models directly within the Weaviate database.
 

diff --git a/developers/weaviate/model-providers/databricks/index.md b/developers/weaviate/model-providers/databricks/index.md
@@ -5,6 +5,8 @@ image: og/docs/integrations/provider_integrations_databricks.jpg
 # tags: ['model providers', 'databricks']
 ---
 
+<!-- Note: for images, use https://docs.google.com/presentation/d/15opIcJuaIjEEcs_1Zm8B6pccox2p7_MHSjCnRv4dPfU/edit?usp=sharing -->
+
 :::info Added in `v1.26.3`
 :::
 

diff --git a/developers/weaviate/model-providers/friendliai/index.md b/developers/weaviate/model-providers/friendliai/index.md
@@ -5,6 +5,7 @@ image: og/docs/integrations/provider_integrations_friendliai.jpg
 # tags: ['model providers', 'friendliai']
 ---
 
+<!-- Note: for images, use https://docs.google.com/presentation/d/15opIcJuaIjEEcs_1Zm8B6pccox2p7_MHSjCnRv4dPfU/edit?usp=sharing -->
 
 :::info Added in `v1.26.3`
 :::

diff --git a/developers/weaviate/model-providers/google/index.md b/developers/weaviate/model-providers/google/index.md
@@ -5,6 +5,7 @@ image: og/docs/integrations/provider_integrations_google.jpg
 # tags: ['model providers', 'google']
 ---
 
+<!-- Note: for images, use https://docs.google.com/presentation/d/15opIcJuaIjEEcs_1Zm8B6pccox2p7_MHSjCnRv4dPfU/edit?usp=sharing -->
 
 Google AI offers a wide range of models for natural language processing and generation. Weaviate seamlessly integrates with [Google AI Studio](https://ai.google.dev/?utm_source=weaviate&utm_medium=referral&utm_campaign=partnerships&utm_content=) and [Google Vertex AI](https://cloud.google.com/vertex-ai) APIs, allowing users to leverage Google AI's models directly within the Weaviate database.
 

diff --git a/developers/weaviate/model-providers/gpt4all/index.md b/developers/weaviate/model-providers/gpt4all/index.md
@@ -5,6 +5,7 @@ image: og/docs/integrations/provider_integrations_gpt4all.jpg
 # tags: ['model providers', 'gpt4all']
 ---
 
+<!-- Note: for images, use https://docs.google.com/presentation/d/15opIcJuaIjEEcs_1Zm8B6pccox2p7_MHSjCnRv4dPfU/edit?usp=sharing -->
 
 The GPT4All library allows you to easily run a wide range of models on your own device. Weaviate seamlessly integrates with the GPT4All library, allowing users to leverage compatible models directly within the Weaviate database.
 

diff --git a/developers/weaviate/model-providers/huggingface/index.md b/developers/weaviate/model-providers/huggingface/index.md
@@ -5,6 +5,7 @@ image: og/docs/integrations/provider_integrations_huggingface.jpg
 # tags: ['model providers', 'huggingface']
 ---
 
+<!-- Note: for images, use https://docs.google.com/presentation/d/15opIcJuaIjEEcs_1Zm8B6pccox2p7_MHSjCnRv4dPfU/edit?usp=sharing -->
 
 Hugging Face offers a wide range of models for natural language processing. Weaviate seamlessly integrates with Hugging Face's Inference API, allowing users to leverage Hugging Face Hub's models directly within the Weaviate database.
 

diff --git a/developers/weaviate/model-providers/imagebind/index.md b/developers/weaviate/model-providers/imagebind/index.md
@@ -5,6 +5,7 @@ image: og/docs/integrations/provider_integrations_imagebind.jpg
 # tags: ['model providers', 'huggingface', 'imagebind']
 ---
 
+<!-- Note: for images, use https://docs.google.com/presentation/d/15opIcJuaIjEEcs_1Zm8B6pccox2p7_MHSjCnRv4dPfU/edit?usp=sharing -->
 
 Meta's ImageBind library can be used with a wide range of models for natural language processing. Weaviate seamlessly integrates with the ImageBind library, allowing users to leverage compatible models directly within the Weaviate database.
 

diff --git a/developers/weaviate/model-providers/index.md b/developers/weaviate/model-providers/index.md
@@ -26,7 +26,7 @@ This enables an enhanced developed experience, such as the ability to:
 | [Google](./google/index.md) | [Text](./google/embeddings.md), [Multimodal](./google/embeddings-multimodal.md) | [Text](./google/generative.md) | - |
 | [Hugging Face](./huggingface/index.md) | [Text](./huggingface/embeddings.md) | - | - |
 | [Jina AI](./jinaai/index.md) | [Text](./jinaai/embeddings.md) | - | - |
-| [Mistral](./mistral/index.md) | - | [Text](./mistral/generative.md) | - |
+| [Mistral](./mistral/index.md) | [Text](./mistral/embeddings.md) | [Text](./mistral/generative.md) | - |
 | [OctoAI](./octoai/index.md) | [Text](./octoai/embeddings.md) | [Text](./octoai/generative.md) | - |
 | [OpenAI](./openai/index.md) | [Text](./openai/embeddings.md) | [Text](./openai/generative.md) | - |
 | [Azure OpenAI](./openai-azure/index.md) | [Text](./openai-azure/embeddings.md) | [Text](./openai-azure/generative.md) | - |

diff --git a/developers/weaviate/model-providers/jinaai/index.md b/developers/weaviate/model-providers/jinaai/index.md
@@ -5,6 +5,7 @@ image: og/docs/integrations/provider_integrations_jinaai.jpg
 # tags: ['model providers', 'jinaai']
 ---
 
+<!-- Note: for images, use https://docs.google.com/presentation/d/15opIcJuaIjEEcs_1Zm8B6pccox2p7_MHSjCnRv4dPfU/edit?usp=sharing -->
 
 Jina AI offers a wide range of models for natural language processing. Weaviate seamlessly integrates with Jina AI's APIs, allowing users to leverage Jina AI's models directly within the Weaviate database.