mirror of
https://github.com/hwchase17/langchain.git
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parent
ca9aaac36e
commit
020e73017b
@ -77,36 +77,130 @@
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]
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},
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{
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"attachments": {},
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"cell_type": "markdown",
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"id": "42f76e43",
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"metadata": {},
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"source": [
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"## Cohere\n",
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"\n",
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"TODO: add documentation for Cohere embeddings."
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"Let's load the Cohere Embedding class."
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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": 1,
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"id": "6b82f59f",
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"metadata": {},
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"outputs": [],
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"source": [
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"from langchain.embeddings import CohereEmbeddings"
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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": 2,
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"id": "26895c60",
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"metadata": {},
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"outputs": [],
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"source": [
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"embeddings = CohereEmbeddings(cohere_api_key= cohere_api_key)"
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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": 3,
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"id": "eea52814",
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"metadata": {},
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"outputs": [],
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"source": [
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"text = \"This is a test document.\""
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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": 4,
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"id": "fbe167bf",
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"metadata": {},
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"outputs": [],
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"source": [
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"query_result = embeddings.embed_query(text)"
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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": 5,
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"id": "38ad3b20",
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"metadata": {},
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"outputs": [],
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"source": [
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"doc_result = embeddings.embed_documents([text])"
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]
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},
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{
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"attachments": {},
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"cell_type": "markdown",
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"id": "ed47bb62",
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"metadata": {},
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"source": [
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"## Hugging Face Hub\n",
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"TODO: add documentation for Hugging Face Hub embeddings."
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"Let's load the Hugging Face Embedding class."
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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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"execution_count": 7,
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"id": "861521a9",
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"metadata": {},
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"outputs": [],
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"source": [
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"from langchain.embeddings import HuggingFaceEmbeddings"
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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": 16,
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"id": "ff9be586",
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"metadata": {},
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"outputs": [],
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"source": []
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"source": [
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"embeddings = HuggingFaceEmbeddings()"
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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": 12,
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"id": "d0a98ae9",
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"metadata": {},
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"outputs": [],
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"source": [
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"text = \"This is a test document.\""
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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": 13,
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"id": "5d6c682b",
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"metadata": {},
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"outputs": [],
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"source": [
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"query_result = embeddings.embed_query(text)"
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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": 14,
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"id": "bb5e74c0",
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"metadata": {},
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"outputs": [],
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"source": [
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"doc_result = embeddings.embed_documents([text])"
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]
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}
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],
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"metadata": {
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"kernelspec": {
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"display_name": "Python 3 (ipykernel)",
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"display_name": "cohere",
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"language": "python",
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"name": "python3"
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},
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@ -120,7 +214,12 @@
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"name": "python",
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"nbconvert_exporter": "python",
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"pygments_lexer": "ipython3",
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"version": "3.10.9"
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"version": "3.10.8"
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},
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"vscode": {
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"interpreter": {
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"hash": "ce6f9b0d7cdac41515b0e0c38d0e6e153a2edce81d579281cb1ab99da6e8ea6d"
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}
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}
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},
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"nbformat": 4,
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