mirror of
https://github.com/microsoft/graphrag.git
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272 lines
8.1 KiB
Plaintext
272 lines
8.1 KiB
Plaintext
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{
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"cells": [
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{
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"cell_type": "markdown",
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"metadata": {},
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"source": [
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"## SCRIPT TO EXTRACT EXISTING TEXT EMBEDDINGS INTO A NEW WORKFLOW WITH NEW LOOKUP TABLES"
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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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"metadata": {},
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"outputs": [],
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"source": [
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"import sys\n",
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"sys.path.insert(1, '../../')"
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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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"metadata": {},
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"outputs": [],
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"source": [
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"import pandas as pd"
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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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"source": [
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"### SET VALUES FOR THE INDEX FOLDER TO BE EXTRACTED"
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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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"metadata": {},
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"outputs": [],
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"source": [
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"# set local folder where the index data is located\n",
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"LOCAL_ROOT = \"/Users/gaudy-microsoft/Repositories/unified-copilot/app/data/CHRISTMAS-CAROL\"\n",
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"\n",
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"# value to decide if the original file should maintain or remove the embedding column\n",
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"REMOVE_ORIGINAL_EMBEDDING_COLUMN_IN_SOURCE_FILE = True\n",
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"\n",
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"#identifier field\n",
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"STANDARD_IDENTIFIER_FIELD = \"id\"\n",
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"\n",
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"#new embedding field name\n",
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"NEW_STANDARD_EMBEDDING_FIELD = \"embedding\""
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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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"metadata": {},
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"outputs": [],
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"source": [
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"def extract_text_embedding_from_table(input_path: str, embedding_field: str, embeddings_parquet_output_field: str):\n",
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" \"\"\"Migrate table for embeddings.\"\"\"\n",
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" original_df = pd.read_parquet(input_path)\n",
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" no_embeddings_df = original_df.drop(columns=[embedding_field])\n",
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" \n",
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" embeddings_df = original_df[[STANDARD_IDENTIFIER_FIELD, embedding_field]]\n",
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" embeddings_df = embeddings_df.rename(columns={embedding_field: NEW_STANDARD_EMBEDDING_FIELD}) # type: ignore\n",
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" embeddings_df.to_parquet(embeddings_parquet_output_field, index=False)\n",
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"\n",
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" if REMOVE_ORIGINAL_EMBEDDING_COLUMN_IN_SOURCE_FILE is True:\n",
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" no_embeddings_df.to_parquet(input_path, index=False)"
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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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"source": [
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"### EMBEDDINGS TO MIGRATE IN FILE: `create_final_community_reports.parquet`"
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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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"outputs": [],
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"source": [
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"#input file with the embedding column\n",
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"INPUT_PATH = f\"{LOCAL_ROOT}/create_final_community_reports.parquet\"\n",
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"\n",
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"#output file for embeddings\n",
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"EMBEDDINGS_PARQUET_OUTPUT_PATH = f\"{LOCAL_ROOT}/create_final_community_reports_embeddings.parquet\"\n",
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"\n",
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"#output file without embeddings\n",
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"NO_EMBEDDINGS_PARQUET_OUTPUT_PATH = f\"{LOCAL_ROOT}/create_final_community_reports.parquet\"\n",
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"\n",
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"#embedding field\n",
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"EMBEDDING_FIELD = \"full_content_embedding\"\n",
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"\n",
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"extract_text_embedding_from_table(INPUT_PATH, EMBEDDING_FIELD, EMBEDDINGS_PARQUET_OUTPUT_PATH)"
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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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"outputs": [],
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"source": [
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"#input file with the embedding column\n",
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"INPUT_PATH = f\"{LOCAL_ROOT}/create_final_community_reports.parquet\"\n",
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"\n",
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"#output file for embeddings\n",
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"EMBEDDINGS_PARQUET_OUTPUT_PATH = f\"{LOCAL_ROOT}/create_final_community_reports_embeddings.parquet\"\n",
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"\n",
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"#output file without embeddings\n",
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"NO_EMBEDDINGS_PARQUET_OUTPUT_PATH = f\"{LOCAL_ROOT}/create_final_community_reports.parquet\"\n",
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"\n",
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"#embedding field\n",
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"EMBEDDING_FIELD = \"summary_embedding\"\n",
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"\n",
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"extract_text_embedding_from_table(INPUT_PATH, EMBEDDING_FIELD, EMBEDDINGS_PARQUET_OUTPUT_PATH)"
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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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"outputs": [],
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"source": [
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"#input file with the embedding column\n",
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"INPUT_PATH = f\"{LOCAL_ROOT}/create_final_community_reports.parquet\"\n",
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"\n",
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"#output file for embeddings\n",
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"EMBEDDINGS_PARQUET_OUTPUT_PATH = f\"{LOCAL_ROOT}/create_final_community_reports_embeddings.parquet\"\n",
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"\n",
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"#output file without embeddings\n",
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"NO_EMBEDDINGS_PARQUET_OUTPUT_PATH = f\"{LOCAL_ROOT}/create_final_community_reports.parquet\"\n",
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"\n",
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"#embedding field\n",
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"EMBEDDING_FIELD = \"title_embedding\"\n",
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"\n",
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"extract_text_embedding_from_table(INPUT_PATH, EMBEDDING_FIELD, EMBEDDINGS_PARQUET_OUTPUT_PATH)"
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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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"source": [
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"### EMBEDDINGS TO MIGRATE IN FILE: `create_final_documents.parquet`"
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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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"outputs": [],
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"source": [
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"#input file with the embedding column\n",
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"INPUT_PATH = f\"{LOCAL_ROOT}/create_final_documents.parquet\"\n",
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"\n",
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"#output file for embeddings\n",
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"EMBEDDINGS_PARQUET_OUTPUT_PATH = f\"{LOCAL_ROOT}/create_final_documents_embeddings.parquet\"\n",
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"\n",
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"#output file without embeddings\n",
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"NO_EMBEDDINGS_PARQUET_OUTPUT_PATH = f\"{LOCAL_ROOT}/create_final_documents.parquet\"\n",
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"\n",
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"#embedding field\n",
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"EMBEDDING_FIELD = \"raw_content_embedding\"\n",
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"\n",
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"extract_text_embedding_from_table(INPUT_PATH, EMBEDDING_FIELD, EMBEDDINGS_PARQUET_OUTPUT_PATH)"
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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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"source": [
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"### EMBEDDINGS TO MIGRATE IN FILE: `create_final_entities.parquet`"
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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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"outputs": [],
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"source": [
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"#input file with the embedding column\n",
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"INPUT_PATH = f\"{LOCAL_ROOT}/create_final_entities.parquet\"\n",
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"\n",
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"#output file for embeddings\n",
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"EMBEDDINGS_PARQUET_OUTPUT_PATH = f\"{LOCAL_ROOT}/create_final_entities_embeddings.parquet\"\n",
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"\n",
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"#output file without embeddings\n",
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"NO_EMBEDDINGS_PARQUET_OUTPUT_PATH = f\"{LOCAL_ROOT}/create_final_entities.parquet\"\n",
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"\n",
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"#embedding field\n",
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"EMBEDDING_FIELD = \"name_embedding\"\n",
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"\n",
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"extract_text_embedding_from_table(INPUT_PATH, EMBEDDING_FIELD, EMBEDDINGS_PARQUET_OUTPUT_PATH)"
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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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"outputs": [],
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"source": [
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"#input file with the embedding column\n",
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"INPUT_PATH = f\"{LOCAL_ROOT}/create_final_entities.parquet\"\n",
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"\n",
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"#output file for embeddings\n",
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"EMBEDDINGS_PARQUET_OUTPUT_PATH = f\"{LOCAL_ROOT}/create_final_entities_embeddings.parquet\"\n",
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"\n",
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"#output file without embeddings\n",
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"NO_EMBEDDINGS_PARQUET_OUTPUT_PATH = f\"{LOCAL_ROOT}/create_final_entities.parquet\"\n",
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"\n",
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"#embedding field\n",
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"EMBEDDING_FIELD = \"description_embedding\"\n",
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"\n",
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"extract_text_embedding_from_table(INPUT_PATH, EMBEDDING_FIELD, EMBEDDINGS_PARQUET_OUTPUT_PATH)"
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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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"source": [
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"### EMBEDDINGS TO MIGRATE IN FILE: `create_final_text_units.parquet`"
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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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"outputs": [],
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"source": [
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"#input file with the embedding column\n",
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"INPUT_PATH = f\"{LOCAL_ROOT}/create_final_text_units.parquet\"\n",
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"\n",
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"#output file for embeddings\n",
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"EMBEDDINGS_PARQUET_OUTPUT_PATH = f\"{LOCAL_ROOT}/create_final_text_units_embeddings.parquet\"\n",
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"\n",
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"#output file without embeddings\n",
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"NO_EMBEDDINGS_PARQUET_OUTPUT_PATH = f\"{LOCAL_ROOT}/create_final_text_units.parquet\"\n",
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"\n",
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"#embedding field\n",
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"EMBEDDING_FIELD = \"text_embedding\"\n",
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"\n",
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"extract_text_embedding_from_table(INPUT_PATH, EMBEDDING_FIELD, EMBEDDINGS_PARQUET_OUTPUT_PATH)"
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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": ".venv",
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"language": "python",
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"name": "python3"
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},
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"language_info": {
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"codemirror_mode": {
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"name": "ipython",
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"version": 3
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},
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"file_extension": ".py",
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"mimetype": "text/x-python",
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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": "3.11.10"
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}
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},
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"nbformat": 4,
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"nbformat_minor": 2
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}
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