Update notebooks to use dict instead of yaml and remove dataloaders (#1075)
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@@ -26,7 +26,7 @@
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},
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"outputs": [],
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"source": [
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"!pip install embedchain[dataloaders,pinecone]"
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"!pip install embedchain[pinecone]"
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]
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},
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{
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@@ -56,44 +56,13 @@
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"os.environ[\"PINECONE_ENV\"] = \"xxx\""
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]
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},
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{
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"cell_type": "markdown",
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"metadata": {
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"id": "Ns6RhPfbiitr"
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},
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"source": [
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"### Step-3: Define your Vector Database config"
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]
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},
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{
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"cell_type": "code",
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"execution_count": null,
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"metadata": {
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"id": "S9CkxVjriotB"
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},
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"outputs": [],
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"source": [
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"config = \"\"\"\n",
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"vectordb:\n",
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" provider: pinecone\n",
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" config:\n",
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" metric: cosine\n",
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" vector_dimension: 768\n",
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" collection_name: pc-index\n",
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"\"\"\"\n",
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"\n",
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"# Write the multi-line string to a YAML file\n",
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"with open('pinecone.yaml', 'w') as file:\n",
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" file.write(config)"
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]
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},
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{
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"cell_type": "markdown",
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"metadata": {
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"id": "PGt6uPLIi1CS"
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},
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"source": [
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"### Step-4 Create embedchain app based on the config"
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"### Step-3 Create embedchain app and define your config"
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]
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},
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{
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@@ -104,7 +73,14 @@
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},
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"outputs": [],
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"source": [
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"app = App.from_config(config_path=\"pinecone.yaml\")"
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"app = App.from_config(config={\n",
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" \"provider\": \"pinecone\",\n",
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" \"config\": {\n",
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" \"metric\": \"cosine\",\n",
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" \"vector_dimension\": 768,\n",
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" \"collection_name\": \"pc-index\"\n",
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" }\n",
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"})"
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]
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},
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{
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@@ -113,7 +89,7 @@
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"id": "XNXv4yZwi7ef"
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},
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"source": [
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"### Step-5: Add data sources to your app"
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"### Step-4: Add data sources to your app"
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]
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},
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{
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@@ -133,7 +109,7 @@
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"id": "_7W6fDeAjMAP"
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},
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"source": [
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"### Step-6: All set. Now start asking questions related to your data"
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"### Step-5: All set. Now start asking questions related to your data"
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]
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},
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{
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