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@ -139,13 +139,68 @@
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"docs[0].page_content"
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]
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},
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{
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"cell_type": "markdown",
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"id": "e40d558b",
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"metadata": {},
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"source": [
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"### Compartmentalize the data with Milvus Collections\n",
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"\n",
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"You can store different unrelated documents in different collections within same Milvus instance to maintain the context"
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]
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},
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{
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"cell_type": "markdown",
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"id": "82c00f6e",
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"metadata": {},
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"source": [
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"Here's how you can create a new collection"
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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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"id": "e40d558b",
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"id": "f7ff38ab",
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"metadata": {},
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"outputs": [],
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"source": [
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"vector_db = Milvus.from_documents(\n",
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" docs,\n",
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" embeddings,\n",
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" collection_name = 'collection_1',\n",
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" connection_args={\"host\": \"127.0.0.1\", \"port\": \"19530\"},\n",
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")"
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]
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},
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{
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"cell_type": "markdown",
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"id": "891cec1f",
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"metadata": {},
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"source": [
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"And here is how you retrieve that stored collection"
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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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"id": "e9e873e9",
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"metadata": {},
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"outputs": [],
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"source": []
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"source": [
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"vector_db = Milvus(\n",
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" embeddings,\n",
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" connection_args={\"host\": \"127.0.0.1\", \"port\": \"19530\"},\n",
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" collection_name = 'collection_1'\n",
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" )"
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]
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},
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{
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"cell_type": "markdown",
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"id": "9cc65535",
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"metadata": {},
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"source": [
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"After retreival you can go on querying it as usual."
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]
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}
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],
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"metadata": {
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