Update docs

Author: vishal-bala

docs/api/vectorizer.rst

@@ -38,14 +38,14 @@ AzureOpenAITextVectorizer
    :members:
 
 
-VertexAITextVectorizer
+VertexAIVectorizer
 ======================
 
-.. _vertexaitextvectorizer_api:
+.. _vertexaivectorizer_api:
 
-.. currentmodule:: redisvl.utils.vectorize.text.vertexai
+.. currentmodule:: redisvl.utils.vectorize.vertexai
 
-.. autoclass:: VertexAITextVectorizer
+.. autoclass:: VertexAIVectorizer
    :show-inheritance:
    :members:
 
@@ -62,37 +62,37 @@ CohereTextVectorizer
    :members:
 
 
-BedrockTextVectorizer
+BedrockVectorizer
 =====================
 
-.. _bedrocktextvectorizer_api:
+.. _bedrockvectorizer_api:
 
-.. currentmodule:: redisvl.utils.vectorize.text.bedrock
+.. currentmodule:: redisvl.utils.vectorize.bedrock
 
-.. autoclass:: BedrockTextVectorizer
+.. autoclass:: BedrockVectorizer
    :show-inheritance:
    :members:
 
 
-CustomTextVectorizer
+CustomVectorizer
 ====================
 
-.. _customtextvectorizer_api:
+.. _customvectorizer_api:
 
-.. currentmodule:: redisvl.utils.vectorize.text.custom
+.. currentmodule:: redisvl.utils.vectorize.custom
 
-.. autoclass:: CustomTextVectorizer
+.. autoclass:: CustomVectorizer
    :show-inheritance:
    :members:
 
 
-VoyageAITextVectorizer
+VoyageAIVectorizer
 ======================
 
-.. _voyageaitextvectorizer_api:
+.. _voyageaivectorizer_api:
 
-.. currentmodule:: redisvl.utils.vectorize.text.voyageai
+.. currentmodule:: redisvl.utils.vectorize.voyageai
 
-.. autoclass:: VoyageAITextVectorizer
+.. autoclass:: VoyageAIVectorizer
    :show-inheritance:
    :members:

docs/user_guide/04_vectorizers.ipynb

@@ -413,23 +413,23 @@
    ]
   },
   {
-   "cell_type": "markdown",
    "metadata": {},
+   "cell_type": "markdown",
    "source": [
     "### VoyageAI\n",
     "\n",
-    "[VoyageAI](https://dash.voyageai.com/) allows you to implement language AI into your product. The `VoyageAITextVectorizer` makes it simple to use RedisVL with the embeddings models at VoyageAI. For this you will need to install `voyageai`.\n",
+    "[VoyageAI](https://dash.voyageai.com/) allows you to implement language AI into your product. The `VoyageAIVectorizer` makes it simple to use RedisVL with the embeddings models at VoyageAI. For this you will need to install `voyageai`.\n",
     "\n",
     "```bash\n",
     "pip install voyageai\n",
     "```"
    ]
   },
   {
-   "cell_type": "code",
-   "execution_count": 11,
    "metadata": {},
+   "cell_type": "code",
    "outputs": [],
+   "execution_count": null,
    "source": [
     "import getpass\n",
     "# setup the API Key\n",
@@ -447,15 +447,15 @@
    ]
   },
   {
-   "cell_type": "code",
-   "execution_count": null,
    "metadata": {},
+   "cell_type": "code",
    "outputs": [],
+   "execution_count": null,
    "source": [
-    "from redisvl.utils.vectorize import VoyageAITextVectorizer\n",
+    "from redisvl.utils.vectorize import VoyageAIVectorizer\n",
     "\n",
     "# create a vectorizer\n",
-    "vo = VoyageAITextVectorizer(\n",
+    "vo = VoyageAIVectorizer(\n",
     "    model=\"voyage-law-2\",  # Please check the available models at https://docs.voyageai.com/docs/embeddings\n",
     "    api_config={\"api_key\": api_key},\n",
     ")\n",
@@ -472,8 +472,8 @@
    ]
   },
   {
-   "cell_type": "markdown",
    "metadata": {},
+   "cell_type": "markdown",
    "source": [
     "### Mistral AI\n",
     "\n",
@@ -486,10 +486,10 @@
    ]
   },
   {
-   "cell_type": "code",
-   "execution_count": null,
    "metadata": {},
+   "cell_type": "code",
    "outputs": [],
+   "execution_count": null,
    "source": [
     "from redisvl.utils.vectorize import MistralAITextVectorizer\n",
     "\n",

docs/user_guide/10_embeddings_cache.ipynb

@@ -264,19 +264,19 @@
     "# Prepare batch items as dictionaries\n",
     "batch_items = [\n",
     "    {\n",
-    "        \"text\": texts[0],\n",
+    "        \"content\": texts[0],\n",
     "        \"model_name\": model_name,\n",
     "        \"embedding\": embeddings[0],\n",
     "        \"metadata\": {\"category\": \"ai\", \"type\": \"question\"}\n",
     "    },\n",
     "    {\n",
-    "        \"text\": texts[1],\n",
+    "        \"content\": texts[1],\n",
     "        \"model_name\": model_name,\n",
     "        \"embedding\": embeddings[1],\n",
     "        \"metadata\": {\"category\": \"ai\", \"type\": \"question\"}\n",
     "    },\n",
     "    {\n",
-    "        \"text\": texts[2],\n",
+    "        \"content\": texts[2],\n",
     "        \"model_name\": model_name,\n",
     "        \"embedding\": embeddings[2],\n",
     "        \"metadata\": {\"category\": \"ai\", \"type\": \"question\"}\n",