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impyadav/semantic_search_haystack.ipynb

Last active April 6, 2024 03:08
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In this notebook, I'm gonna implement a rudimentary Semantic Search engine using Haystack. I'll use ElasticSearech and Faiss (Facebook AI Similarity Search) as DocumentStores
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semantic_search_haystack.ipynb
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"\u001b[?25l Downloading https://files.pythonhosted.org/packages/5b/3d/91c184813b8205c697c13117154f3216f01709291155cc9ee88628cb63d2/farm-0.6.2-py3-none-any.whl (207kB)\n",
"\u001b[K |████████████████████████████████| 215kB 8.1MB/s \n",
"\u001b[?25hCollecting fastapi\n",
"\u001b[?25l Downloading https://files.pythonhosted.org/packages/9f/33/1b643f650688ad368983bbaf3b0658438038ea84d775dd37393d826c3833/fastapi-0.63.0-py3-none-any.whl (50kB)\n",
"\u001b[K |████████████████████████████████| 51kB 8.4MB/s \n",
"\u001b[?25hCollecting uvicorn\n",
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"Collecting prometheus-flask-exporter\n",
" Downloading https://files.pythonhosted.org/packages/4c/d5/8a046d683c2cc084b6a502812827ede69b1064f95d93f94b83f809b21723/prometheus_flask_exporter-0.18.1.tar.gz\n",
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"\u001b[?25l Downloading https://files.pythonhosted.org/packages/f5/0a/490fa011d699bb5a5f3a0cf57de82237f52a6db9d40f33c53b2736c9a1f9/distlib-0.3.1-py2.py3-none-any.whl (335kB)\n",
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"Collecting gitdb<5,>=4.0.1\n",
"\u001b[?25l Downloading https://files.pythonhosted.org/packages/48/11/d1800bca0a3bae820b84b7d813ad1eff15a48a64caea9c823fc8c1b119e8/gitdb-4.0.5-py3-none-any.whl (63kB)\n",
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"Collecting Mako\n",
"\u001b[?25l Downloading https://files.pythonhosted.org/packages/5c/db/2d2d88b924aa4674a080aae83b59ea19d593250bfe5ed789947c21736785/Mako-1.1.4.tar.gz (479kB)\n",
"\u001b[K |████████████████████████████████| 481kB 54.6MB/s \n",
"\u001b[?25hCollecting python-editor>=0.3\n",
" Downloading https://files.pythonhosted.org/packages/c6/d3/201fc3abe391bbae6606e6f1d598c15d367033332bd54352b12f35513717/python_editor-1.0.4-py3-none-any.whl\n",
"Collecting cryptography>=2.1.4\n",
"\u001b[?25l Downloading https://files.pythonhosted.org/packages/f8/1f/acde6ff69864c5e78b56488e3afd93c1ccc8c2651186e2a5f93d93f64859/cryptography-3.4.6-cp36-abi3-manylinux2014_x86_64.whl (3.2MB)\n",
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"\u001b[?25hCollecting msrest>=0.6.18\n",
"\u001b[?25l Downloading https://files.pythonhosted.org/packages/e8/cc/6c96bfb3d3cf4c3bdedfa6b46503223f4c2a4fa388377697e0f8082a4fed/msrest-0.6.21-py2.py3-none-any.whl (85kB)\n",
"\u001b[K |████████████████████████████████| 92kB 14.7MB/s \n",
"\u001b[?25hCollecting azure-core<2.0.0,>=1.10.0\n",
"\u001b[?25l Downloading https://files.pythonhosted.org/packages/f5/2a/ad5f6bb3fcbb5c59087183041c82fe74d536204a03f9a662db825e1b3be4/azure_core-1.11.0-py2.py3-none-any.whl (127kB)\n",
"\u001b[K |████████████████████████████████| 133kB 62.5MB/s \n",
"\u001b[?25hCollecting websocket-client>=0.32.0\n",
"\u001b[?25l Downloading https://files.pythonhosted.org/packages/4c/5f/f61b420143ed1c8dc69f9eaec5ff1ac36109d52c80de49d66e0c36c3dfdf/websocket_client-0.57.0-py2.py3-none-any.whl (200kB)\n",
"\u001b[K |████████████████████████████████| 204kB 52.0MB/s \n",
"\u001b[?25hRequirement already satisfied: prometheus_client in /usr/local/lib/python3.6/dist-packages (from prometheus-flask-exporter->mlflow<=1.13.1->farm==0.6.2->farm-haystack==0.7.0) (0.9.0)\n",
"Collecting smmap<4,>=3.0.1\n",
" Downloading https://files.pythonhosted.org/packages/d5/1e/6130925131f639b2acde0f7f18b73e33ce082ff2d90783c436b52040af5a/smmap-3.0.5-py2.py3-none-any.whl\n",
"Requirement already satisfied: cffi>=1.12 in /usr/local/lib/python3.6/dist-packages (from cryptography>=2.1.4->azure-storage-blob>=12.0.0->mlflow<=1.13.1->farm==0.6.2->farm-haystack==0.7.0) (1.14.4)\n",
"Requirement already satisfied: requests-oauthlib>=0.5.0 in /usr/local/lib/python3.6/dist-packages (from msrest>=0.6.18->azure-storage-blob>=12.0.0->mlflow<=1.13.1->farm==0.6.2->farm-haystack==0.7.0) (1.3.0)\n",
"Collecting isodate>=0.6.0\n",
"\u001b[?25l Downloading https://files.pythonhosted.org/packages/9b/9f/b36f7774ff5ea8e428fdcfc4bb332c39ee5b9362ddd3d40d9516a55221b2/isodate-0.6.0-py2.py3-none-any.whl (45kB)\n",
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"Requirement already satisfied: oauthlib>=3.0.0 in /usr/local/lib/python3.6/dist-packages (from requests-oauthlib>=0.5.0->msrest>=0.6.18->azure-storage-blob>=12.0.0->mlflow<=1.13.1->farm==0.6.2->farm-haystack==0.7.0) (3.1.0)\n",
"Building wheels for collected packages: farm-haystack, langdetect, python-multipart, python-docx, sqlalchemy-utils, tika, seqeval, sacremoses, databricks-cli, alembic, prometheus-flask-exporter, Mako\n",
" Building wheel for farm-haystack (setup.py) ... \u001b[?25l\u001b[?25hdone\n",
" Created wheel for farm-haystack: filename=farm_haystack-0.7.0-cp36-none-any.whl size=141874 sha256=616c9ca8ab7fa20f1fbae7f9345bec6130e4543e0ee96b3c5ea031d38714e180\n",
" Stored in directory: /tmp/pip-ephem-wheel-cache-4gbiao_x/wheels/ab/41/a4/4fbf362de283352078ecb6705c08b6525347aaea2eead2a60c\n",
" Building wheel for langdetect (setup.py) ... \u001b[?25l\u001b[?25hdone\n",
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" Stored in directory: /root/.cache/pip/wheels/f0/e6/66/14a866a3cbd6a0cabfbef91f7edf40aa03595ef6c88d6d1be4\n",
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" Stored in directory: /root/.cache/pip/wheels/18/0b/a0/1dd62ff812c857c9e487f27d80d53d2b40531bec1acecfa47b\n",
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" Stored in directory: /root/.cache/pip/wheels/68/31/b6/a96bf6868f42753696d647846c9a0f8e51bd99295790d07660\n",
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" Stored in directory: /root/.cache/pip/wheels/52/df/1b/45d75646c37428f7e626214704a0e35bd3cfc32eda37e59e5f\n",
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" Stored in directory: /root/.cache/pip/wheels/29/3c/fd/7ce5c3f0666dab31a50123635e6fb5e19ceb42ce38d4e58f45\n",
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" Stored in directory: /root/.cache/pip/wheels/82/91/ac/5d417ee5ccbb76c8cca096cf4cfb9ed9d49d889d1d1ca0fc39\n",
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" Created wheel for alembic: filename=alembic-1.4.1-py2.py3-none-any.whl size=158155 sha256=5e0cb7e072a6f22a0fc1dcf47b078e2d39e26572d13c073ac9c403b6c0f77f48\n",
" Stored in directory: /root/.cache/pip/wheels/84/07/f7/12f7370ca47a66030c2edeedcc23dec26ea0ac22dcb4c4a0f3\n",
" Building wheel for prometheus-flask-exporter (setup.py) ... \u001b[?25l\u001b[?25hdone\n",
" Created wheel for prometheus-flask-exporter: filename=prometheus_flask_exporter-0.18.1-cp36-none-any.whl size=17159 sha256=8cba441b74cbf79bafb88996e25bf4595e1a0619c8efaa69d3884a77df6dcd32\n",
" Stored in directory: /root/.cache/pip/wheels/b4/1f/b8/66bd9bc3a9d6c6987ff6c4dfeb6f1fe97b5a0e5ed5849c0437\n",
" Building wheel for Mako (setup.py) ... \u001b[?25l\u001b[?25hdone\n",
" Created wheel for Mako: filename=Mako-1.1.4-py2.py3-none-any.whl size=75675 sha256=cd96113e4f8cb380804e51db4d46d59a21c11814323bcb9573d1f2678f649c89\n",
" Stored in directory: /root/.cache/pip/wheels/ad/10/d3/aeb26e20d19045e2a68e5d3cbb57432e11b5d9c92c99f98d47\n",
"Successfully built farm-haystack langdetect python-multipart python-docx sqlalchemy-utils tika seqeval sacremoses databricks-cli alembic prometheus-flask-exporter Mako\n",
"\u001b[31mERROR: pytest 3.6.4 has requirement pluggy<0.8,>=0.5, but you'll have pluggy 0.13.1 which is incompatible.\u001b[0m\n",
"\u001b[31mERROR: datascience 0.10.6 has requirement folium==0.2.1, but you'll have folium 0.8.3 which is incompatible.\u001b[0m\n",
"\u001b[31mERROR: botocore 1.20.13 has requirement urllib3<1.27,>=1.25.4, but you'll have urllib3 1.24.3 which is incompatible.\u001b[0m\n",
"\u001b[31mERROR: grpcio-tools 1.35.0 has requirement grpcio>=1.35.0, but you'll have grpcio 1.32.0 which is incompatible.\u001b[0m\n",
"Installing collected packages: sentencepiece, aniso8601, flask-restplus, jmespath, botocore, s3transfer, boto3, dotmap, seqeval, sacremoses, tokenizers, transformers, Werkzeug, flask-cors, querystring-parser, smmap, gitdb, gitpython, databricks-cli, Mako, python-editor, alembic, cryptography, isodate, msrest, azure-core, azure-storage-blob, websocket-client, docker, prometheus-flask-exporter, gunicorn, mlflow, farm, starlette, pydantic, fastapi, h11, uvicorn, elasticsearch, elastic-apm, pluggy, distlib, virtualenv, tox, langdetect, python-multipart, python-docx, sqlalchemy-utils, faiss-cpu, tika, httptools, ujson, grpcio-tools, pymilvus, psycopg2-binary, uvloop, farm-haystack\n",
" Found existing installation: Werkzeug 1.0.1\n",
" Uninstalling Werkzeug-1.0.1:\n",
" Successfully uninstalled Werkzeug-1.0.1\n",
" Found existing installation: pluggy 0.7.1\n",
" Uninstalling pluggy-0.7.1:\n",
" Successfully uninstalled pluggy-0.7.1\n",
"Successfully installed Mako-1.1.4 Werkzeug-0.16.1 alembic-1.4.1 aniso8601-9.0.0 azure-core-1.11.0 azure-storage-blob-12.7.1 boto3-1.17.13 botocore-1.20.13 cryptography-3.4.6 databricks-cli-0.14.1 distlib-0.3.1 docker-4.4.3 dotmap-1.3.23 elastic-apm-6.0.0 elasticsearch-7.10.0 faiss-cpu-1.7.0 farm-0.6.2 farm-haystack-0.7.0 fastapi-0.63.0 flask-cors-3.0.10 flask-restplus-0.13.0 gitdb-4.0.5 gitpython-3.1.13 grpcio-tools-1.35.0 gunicorn-20.0.4 h11-0.12.0 httptools-0.1.1 isodate-0.6.0 jmespath-0.10.0 langdetect-1.0.8 mlflow-1.13.1 msrest-0.6.21 pluggy-0.13.1 prometheus-flask-exporter-0.18.1 psycopg2-binary-2.8.6 pydantic-1.7.3 pymilvus-0.4.0 python-docx-0.8.10 python-editor-1.0.4 python-multipart-0.0.5 querystring-parser-1.2.4 s3transfer-0.3.4 sacremoses-0.0.43 sentencepiece-0.1.95 seqeval-1.2.2 smmap-3.0.5 sqlalchemy-utils-0.36.8 starlette-0.13.6 tika-1.24 tokenizers-0.9.4 tox-3.22.0 transformers-4.1.1 ujson-4.0.2 uvicorn-0.13.4 uvloop-0.14.0 virtualenv-20.4.2 websocket-client-0.57.0\n",
"Collecting urllib3==1.25.4\n",
"\u001b[?25l Downloading https://files.pythonhosted.org/packages/91/0d/7777358f672a14b7ae0dfcd29f949f409f913e0578190d6bfa68eb55864b/urllib3-1.25.4-py2.py3-none-any.whl (125kB)\n",
"\u001b[K |████████████████████████████████| 133kB 7.4MB/s \n",
"\u001b[31mERROR: datascience 0.10.6 has requirement folium==0.2.1, but you'll have folium 0.8.3 which is incompatible.\u001b[0m\n",
"\u001b[?25hInstalling collected packages: urllib3\n",
" Found existing installation: urllib3 1.24.3\n",
" Uninstalling urllib3-1.24.3:\n",
" Successfully uninstalled urllib3-1.24.3\n",
"Successfully installed urllib3-1.25.4\n"
],
"name": "stdout"
},
{
"output_type": "execute_result",
"data": {
"text/plain": [
"['Collecting sentence-transformers',\n",
" '\\x1b[?25l Downloading https://files.pythonhosted.org/packages/6a/e2/84d6acfcee2d83164149778a33b6bdd1a74e1bcb59b2b2cd1b861359b339/sentence-transformers-0.4.1.2.tar.gz (64kB)',\n",
" '',\n",
" '\\x1b[K |█████ | 10kB 29.2MB/s eta 0:00:01',\n",
" '\\x1b[K |██████████▏ | 20kB 15.2MB/s eta 0:00:01',\n",
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" '\\x1b[K |█████████████████████████▍ | 51kB 8.5MB/s eta 0:00:01',\n",
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" '\\x1b[K |████████████████████████████████| 71kB 5.6MB/s ',\n",
" '\\x1b[?25hRequirement already satisfied: transformers<5.0.0,>=3.1.0 in /usr/local/lib/python3.6/dist-packages (from sentence-transformers) (4.1.1)',\n",
" 'Requirement already satisfied: tqdm in /usr/local/lib/python3.6/dist-packages (from sentence-transformers) (4.41.1)',\n",
" 'Requirement already satisfied: torch>=1.6.0 in /usr/local/lib/python3.6/dist-packages (from sentence-transformers) (1.7.0+cu101)',\n",
" 'Requirement already satisfied: numpy in /usr/local/lib/python3.6/dist-packages (from sentence-transformers) (1.19.5)',\n",
" 'Requirement already satisfied: scikit-learn in /usr/local/lib/python3.6/dist-packages (from sentence-transformers) (0.22.2.post1)',\n",
" 'Requirement already satisfied: scipy in /usr/local/lib/python3.6/dist-packages (from sentence-transformers) (1.4.1)',\n",
" 'Requirement already satisfied: nltk in /usr/local/lib/python3.6/dist-packages (from sentence-transformers) (3.2.5)',\n",
" 'Requirement already satisfied: sentencepiece in /usr/local/lib/python3.6/dist-packages (from sentence-transformers) (0.1.95)',\n",
" 'Requirement already satisfied: packaging in /usr/local/lib/python3.6/dist-packages (from transformers<5.0.0,>=3.1.0->sentence-transformers) (20.9)',\n",
" 'Requirement already satisfied: sacremoses in /usr/local/lib/python3.6/dist-packages (from transformers<5.0.0,>=3.1.0->sentence-transformers) (0.0.43)',\n",
" 'Requirement already satisfied: dataclasses; python_version < \"3.7\" in /usr/local/lib/python3.6/dist-packages (from transformers<5.0.0,>=3.1.0->sentence-transformers) (0.8)',\n",
" 'Requirement already satisfied: requests in /usr/local/lib/python3.6/dist-packages (from transformers<5.0.0,>=3.1.0->sentence-transformers) (2.23.0)',\n",
" 'Requirement already satisfied: filelock in /usr/local/lib/python3.6/dist-packages (from transformers<5.0.0,>=3.1.0->sentence-transformers) (3.0.12)',\n",
" 'Requirement already satisfied: regex!=2019.12.17 in /usr/local/lib/python3.6/dist-packages (from transformers<5.0.0,>=3.1.0->sentence-transformers) (2019.12.20)',\n",
" 'Requirement already satisfied: tokenizers==0.9.4 in /usr/local/lib/python3.6/dist-packages (from transformers<5.0.0,>=3.1.0->sentence-transformers) (0.9.4)',\n",
" 'Requirement already satisfied: future in /usr/local/lib/python3.6/dist-packages (from torch>=1.6.0->sentence-transformers) (0.16.0)',\n",
" 'Requirement already satisfied: typing-extensions in /usr/local/lib/python3.6/dist-packages (from torch>=1.6.0->sentence-transformers) (3.7.4.3)',\n",
" 'Requirement already satisfied: joblib>=0.11 in /usr/local/lib/python3.6/dist-packages (from scikit-learn->sentence-transformers) (1.0.0)',\n",
" 'Requirement already satisfied: six in /usr/local/lib/python3.6/dist-packages (from nltk->sentence-transformers) (1.15.0)',\n",
" 'Requirement already satisfied: pyparsing>=2.0.2 in /usr/local/lib/python3.6/dist-packages (from packaging->transformers<5.0.0,>=3.1.0->sentence-transformers) (2.4.7)',\n",
" 'Requirement already satisfied: click in /usr/local/lib/python3.6/dist-packages (from sacremoses->transformers<5.0.0,>=3.1.0->sentence-transformers) (7.1.2)',\n",
" 'Requirement already satisfied: urllib3!=1.25.0,!=1.25.1,<1.26,>=1.21.1 in /usr/local/lib/python3.6/dist-packages (from requests->transformers<5.0.0,>=3.1.0->sentence-transformers) (1.25.4)',\n",
" 'Requirement already satisfied: chardet<4,>=3.0.2 in /usr/local/lib/python3.6/dist-packages (from requests->transformers<5.0.0,>=3.1.0->sentence-transformers) (3.0.4)',\n",
" 'Requirement already satisfied: certifi>=2017.4.17 in /usr/local/lib/python3.6/dist-packages (from requests->transformers<5.0.0,>=3.1.0->sentence-transformers) (2020.12.5)',\n",
" 'Requirement already satisfied: idna<3,>=2.5 in /usr/local/lib/python3.6/dist-packages (from requests->transformers<5.0.0,>=3.1.0->sentence-transformers) (2.10)',\n",
" 'Building wheels for collected packages: sentence-transformers',\n",
" ' Building wheel for sentence-transformers (setup.py) ... \\x1b[?25l\\x1b[?25hdone',\n",
" ' Created wheel for sentence-transformers: filename=sentence_transformers-0.4.1.2-cp36-none-any.whl size=103068 sha256=5f408c11152f0a7e1d9dec753d11e4c219233e590f9c40b0f815bd74d0f0c214',\n",
" ' Stored in directory: /root/.cache/pip/wheels/3d/33/d1/5703dd56199c09d4a1b41e0c07fb4e7765a84d787cbdc48ac3',\n",
" 'Successfully built sentence-transformers',\n",
" 'Installing collected packages: sentence-transformers',\n",
" 'Successfully installed sentence-transformers-0.4.1.2']"
]
},
"metadata": {
"tags": []
},
"execution_count": 1
}
]
},
{
"cell_type": "markdown",
"metadata": {
"id": "TAlgMbwyqJnZ"
},
"source": [
"Checking the GPU connectivity"
]
},
{
"cell_type": "code",
"metadata": {
"colab": {
"base_uri": "https://localhost:8080/"
},
"id": "jU3JiP5Qrn5f",
"outputId": "0b5aaac6-ee9b-4af3-c5da-33d519f4e735"
},
"source": [
"!nvidia-smi"
],
"execution_count": null,
"outputs": [
{
"output_type": "stream",
"text": [
"Sat Feb 20 18:34:40 2021 \n",
"+-----------------------------------------------------------------------------+\n",
"| NVIDIA-SMI 460.39 Driver Version: 460.32.03 CUDA Version: 11.2 |\n",
"|-------------------------------+----------------------+----------------------+\n",
"| GPU Name Persistence-M| Bus-Id Disp.A | Volatile Uncorr. ECC |\n",
"| Fan Temp Perf Pwr:Usage/Cap| Memory-Usage | GPU-Util Compute M. |\n",
"| | | MIG M. |\n",
"|===============================+======================+======================|\n",
"| 0 Tesla T4 Off | 00000000:00:04.0 Off | 0 |\n",
"| N/A 48C P8 10W / 70W | 0MiB / 15109MiB | 0% Default |\n",
"| | | N/A |\n",
"+-------------------------------+----------------------+----------------------+\n",
" \n",
"+-----------------------------------------------------------------------------+\n",
"| Processes: |\n",
"| GPU GI CI PID Type Process name GPU Memory |\n",
"| ID ID Usage |\n",
"|=============================================================================|\n",
"| No running processes found |\n",
"+-----------------------------------------------------------------------------+\n"
],
"name": "stdout"
}
]
},
{
"cell_type": "markdown",
"metadata": {
"id": "ficViOmCqT7i"
},
"source": [
"## Dataset Preparation"
]
},
{
"cell_type": "code",
"metadata": {
"id": "A3Nt0cR_dSnL"
},
"source": [
"import pickle\r\n",
"with open('/content/drive/MyDrive/food_records_haystack (1).pickle', 'rb') as f:\r\n",
" food_data_to_upload = pickle.load(f)"
],
"execution_count": null,
"outputs": []
},
{
"cell_type": "code",
"metadata": {
"colab": {
"base_uri": "https://localhost:8080/"
},
"id": "DshJiFTDd1_O",
"outputId": "34dc9659-4ab7-4035-a551-55cec98f8245"
},
"source": [
"food_data_to_upload[:5]"
],
"execution_count": null,
"outputs": [
{
"output_type": "execute_result",
"data": {
"text/plain": [
"[{'meta': {'code': 3087,\n",
" 'url': 'http://world-en.openfoodfacts.org/product/0000000003087/farine-de-ble-noir-ferme-t-y-r-nao'},\n",
" 'text': 'Farine de blé noir'},\n",
" {'meta': {'code': 4530,\n",
" 'url': 'http://world-en.openfoodfacts.org/product/0000000004530/banana-chips-sweetened-whole'},\n",
" 'text': 'Banana Chips Sweetened (Whole)'},\n",
" {'meta': {'code': 4559,\n",
" 'url': 'http://world-en.openfoodfacts.org/product/0000000004559/peanuts-torn-glasser'},\n",
" 'text': 'Peanuts'},\n",
" {'meta': {'code': 16087,\n",
" 'url': 'http://world-en.openfoodfacts.org/product/0000000016087/organic-salted-nut-mix-grizzlies'},\n",
" 'text': 'Organic Salted Nut Mix'},\n",
" {'meta': {'code': 16094,\n",
" 'url': 'http://world-en.openfoodfacts.org/product/0000000016094/organic-polenta-bob-s-red-mill'},\n",
" 'text': 'Organic Polenta'}]"
]
},
"metadata": {
"tags": []
},
"execution_count": 3
}
]
},
{
"cell_type": "code",
"metadata": {
"colab": {
"base_uri": "https://localhost:8080/"
},
"id": "TppMQKtmPyHL",
"outputId": "530d6068-b31d-4ab2-f2d4-39600fe8c57e"
},
"source": [
"len(food_data_to_upload)"
],
"execution_count": null,
"outputs": [
{
"output_type": "execute_result",
"data": {
"text/plain": [
"338487"
]
},
"metadata": {
"tags": []
},
"execution_count": 61
}
]
},
{
"cell_type": "markdown",
"metadata": {
"id": "BFdKhXInrMWY"
},
"source": [
"## DocumentStore"
]
},
{
"cell_type": "markdown",
"metadata": {
"id": "YvfwRGBxsMqD"
},
"source": [
"FAISSdocumentStore"
]
},
{
"cell_type": "code",
"metadata": {
"colab": {
"base_uri": "https://localhost:8080/"
},
"id": "2sEsdkxqrGNw",
"outputId": "57dfc9af-a0ef-4ee5-aea9-b64255d66c64"
},
"source": [
"from haystack.document_store.faiss import FAISSDocumentStore"
],
"execution_count": null,
"outputs": [
{
"output_type": "stream",
"text": [
"02/23/2021 06:56:03 - INFO - faiss.loader - Loading faiss with AVX2 support.\n",
"02/23/2021 06:56:03 - INFO - faiss.loader - Loading faiss.\n",
"02/23/2021 06:56:04 - INFO - farm.modeling.prediction_head - Better speed can be achieved with apex installed from https://www.github.com/nvidia/apex .\n"
],
"name": "stderr"
}
]
},
{
"cell_type": "code",
"metadata": {
"id": "VTSj8b8HrhiY"
},
"source": [
"document_store_faiss = FAISSDocumentStore(\r\n",
" faiss_index_factory_str=\"Flat\",\r\n",
" return_embedding=True\r\n",
")"
],
"execution_count": null,
"outputs": []
},
{
"cell_type": "markdown",
"metadata": {
"id": "isDd9i-esSvy"
},
"source": [
"ElasticSearchDocumentStore"
]
},
{
"cell_type": "markdown",
"metadata": {
"id": "_DTH-QjP0GNS"
},
"source": [
"Make sure you've installed Elasticsearch here, if not, please follow the below commands"
]
},
{
"cell_type": "code",
"metadata": {
"id": "Mi-JweTU0o3q"
},
"source": [
"!wget https://artifacts.elastic.co/downloads/elasticsearch/elasticsearch-7.11.0-linux-x86_64.tar.gz -q\r\n",
"!tar -xzf elasticsearch-7.11.0-linux-x86_64.tar.gz\r\n",
"!chown -R daemon:daemon elasticsearch-7.11.0"
],
"execution_count": null,
"outputs": []
},
{
"cell_type": "code",
"metadata": {
"colab": {
"base_uri": "https://localhost:8080/"
},
"id": "GAgQsQQW09qw",
"outputId": "b4fdedde-00f7-4a68-d314-b79cc6913028"
},
"source": [
"# start server\r\n",
"import os\r\n",
"from subprocess import Popen, PIPE, STDOUT\r\n",
"es_server = Popen(['elasticsearch-7.11.0/bin/elasticsearch'], \r\n",
" stdout=PIPE, stderr=STDOUT,\r\n",
" preexec_fn=lambda: os.setuid(1) # as daemon\r\n",
" )\r\n",
"\r\n",
"#test\r\n",
"! sleep 30\r\n",
"!curl -X GET \"localhost:9200/\""
],
"execution_count": null,
"outputs": [
{
"output_type": "stream",
"text": [
"{\n",
" \"name\" : \"41c13aae30dd\",\n",
" \"cluster_name\" : \"elasticsearch\",\n",
" \"cluster_uuid\" : \"RZp20DBNSMiGkKt0cp1olw\",\n",
" \"version\" : {\n",
" \"number\" : \"7.11.0\",\n",
" \"build_flavor\" : \"default\",\n",
" \"build_type\" : \"tar\",\n",
" \"build_hash\" : \"8ced7813d6f16d2ef30792e2fcde3e755795ee04\",\n",
" \"build_date\" : \"2021-02-08T22:44:01.320463Z\",\n",
" \"build_snapshot\" : false,\n",
" \"lucene_version\" : \"8.7.0\",\n",
" \"minimum_wire_compatibility_version\" : \"6.8.0\",\n",
" \"minimum_index_compatibility_version\" : \"6.0.0-beta1\"\n",
" },\n",
" \"tagline\" : \"You Know, for Search\"\n",
"}\n"
],
"name": "stdout"
}
]
},
{
"cell_type": "code",
"metadata": {
"id": "7VjuZFV8sguW"
},
"source": [
"from haystack.document_store.elasticsearch import ElasticsearchDocumentStore"
],
"execution_count": null,
"outputs": []
},
{
"cell_type": "code",
"metadata": {
"colab": {
"base_uri": "https://localhost:8080/"
},
"id": "JfzXBcIVshhD",
"outputId": "3631a904-4072-4e84-b17e-46e3390d5272"
},
"source": [
"document_store_es = ElasticsearchDocumentStore(host=\"localhost\", index=\"food_haystack_embedding\",\r\n",
" similarity='cosine')"
],
"execution_count": null,
"outputs": [
{
"output_type": "stream",
"text": [
"02/23/2021 09:34:38 - INFO - elasticsearch - HEAD http://localhost:9200/ [status:200 request:0.009s]\n",
"02/23/2021 09:34:38 - INFO - elasticsearch - HEAD http://localhost:9200/food_haystack_embedding [status:200 request:0.099s]\n",
"02/23/2021 09:34:38 - INFO - elasticsearch - GET http://localhost:9200/food_haystack_embedding [status:200 request:0.004s]\n",
"02/23/2021 09:34:39 - INFO - elasticsearch - PUT http://localhost:9200/food_haystack_embedding/_mapping [status:200 request:0.212s]\n",
"02/23/2021 09:34:39 - INFO - elasticsearch - HEAD http://localhost:9200/label [status:200 request:0.007s]\n"
],
"name": "stderr"
}
]
},
{
"cell_type": "markdown",
"metadata": {
"id": "nldkhcjzrSSC"
},
"source": [
"## Retriever"
]
},
{
"cell_type": "code",
"metadata": {
"id": "HtpTyFM8yBcD"
},
"source": [
"from haystack.retriever.dense import EmbeddingRetriever"
],
"execution_count": null,
"outputs": []
},
{
"cell_type": "markdown",
"metadata": {
"id": "P-IpmT1osuTr"
},
"source": [
"FAISS"
]
},
{
"cell_type": "code",
"metadata": {
"colab": {
"base_uri": "https://localhost:8080/"
},
"id": "UMG9R5lcMqd9",
"outputId": "03635302-032f-42ed-f8df-22be2cfb828a"
},
"source": [
"retriever_faiss = EmbeddingRetriever(\r\n",
" document_store_faiss,\r\n",
" embedding_model='distilroberta-base-msmarco-v2', \r\n",
" model_format='sentence_transformers'\r\n",
")"
],
"execution_count": null,
"outputs": [
{
"output_type": "stream",
"text": [
"02/23/2021 09:22:53 - INFO - haystack.retriever.dense - Init retriever using embeddings of model distilroberta-base-msmarco-v2\n",
"02/23/2021 09:22:53 - INFO - sentence_transformers.SentenceTransformer - Load pretrained SentenceTransformer: distilroberta-base-msmarco-v2\n",
"02/23/2021 09:22:53 - INFO - sentence_transformers.SentenceTransformer - Did not find folder distilroberta-base-msmarco-v2\n",
"02/23/2021 09:22:53 - INFO - sentence_transformers.SentenceTransformer - Try to download model from server: https://sbert.net/models/distilroberta-base-msmarco-v2.zip\n",
"02/23/2021 09:22:53 - INFO - sentence_transformers.SentenceTransformer - Load SentenceTransformer from folder: /root/.cache/torch/sentence_transformers/sbert.net_models_distilroberta-base-msmarco-v2\n",
"02/23/2021 09:23:06 - WARNING - haystack.retriever.dense - You are using a Sentence Transformer with the dot_product function. We recommend using cosine instead. This can be set when initializing the DocumentStore\n"
],
"name": "stderr"
}
]
},
{
"cell_type": "code",
"metadata": {
"colab": {
"base_uri": "https://localhost:8080/",
"height": 1000,
"referenced_widgets": [
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"915c36a645284e8cb6c11268f7b40d48",
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"440f968826d04123b7aa6241fc136f75",
"c15bbba9abe34d5e8741677b52a7e998",
"7667c23984ad4687ba0aab5b7a630723",
"de9961738ea142ffa5b2231de8605a27",
"920f219e833a431285d43ef9dcc2ca59",
"4cbd7c042f5a410798cb84b6785c3a73",
"c876cfb8e9604b09b6a8c02871522f0a",
"d4b53d9a43424b0ba8fd17347e5ad028",
"70ff50a57f7f4c7b8300515246f15d03",
"b9f5d46c365f4086a1525901ebd4cb24",
"92bf0dbafbe04a109608ae48d47ef0be",
"ee0eff80add74dd0934bfe383e2fc144",
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"78267be11b2a46ee8b574e9a2e5c6b6f",
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"d39173269f944e609a8f624e420ce27a",
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"dd0598a9d63a410ea3ad3eaee6c76528",
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},
"id": "qeV6cHY7ybfQ",
"outputId": "0031bedb-baf3-477f-d853-ec4066f3efeb"
},
"source": [
"# Delete existing documents in documents store\r\n",
"document_store_faiss.delete_all_documents()\r\n",
"\r\n",
"# Write documents to document store\r\n",
"document_store_faiss.write_documents(food_data_to_upload)\r\n",
"\r\n",
"# Add documents embeddings to index\r\n",
"print('Updating...')\r\n",
"document_store_faiss.update_embeddings(\r\n",
" retriever=retriever\r\n",
")"
],
"execution_count": null,
"outputs": [
{
"output_type": "stream",
"text": [
"02/23/2021 07:46:40 - INFO - haystack.document_store.faiss - Updating embeddings for 338487 docs...\n"
],
"name": "stderr"
},
{
"output_type": "stream",
"text": [
"Updating...\n"
],
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},
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{
"cell_type": "markdown",
"metadata": {
"id": "TCLAyhd1szAs"
},
"source": [
"ElasticSearch"
]
},
{
"cell_type": "code",
"metadata": {
"colab": {
"base_uri": "https://localhost:8080/"
},
"id": "--YEkx7YMh1V",
"outputId": "fa8ea355-9b8f-410b-80bc-456817c06caa"
},
"source": [
"retriever_es = EmbeddingRetriever(\r\n",
" document_store_es,\r\n",
" embedding_model='distilroberta-base-msmarco-v2', \r\n",
" model_format='sentence_transformers'\r\n",
")"
],
"execution_count": null,
"outputs": [
{
"output_type": "stream",
"text": [
"02/23/2021 09:22:28 - INFO - haystack.retriever.dense - Init retriever using embeddings of model distilroberta-base-msmarco-v2\n",
"02/23/2021 09:22:28 - INFO - sentence_transformers.SentenceTransformer - Load pretrained SentenceTransformer: distilroberta-base-msmarco-v2\n",
"02/23/2021 09:22:28 - INFO - sentence_transformers.SentenceTransformer - Did not find folder distilroberta-base-msmarco-v2\n",
"02/23/2021 09:22:28 - INFO - sentence_transformers.SentenceTransformer - Try to download model from server: https://sbert.net/models/distilroberta-base-msmarco-v2.zip\n",
"02/23/2021 09:22:28 - INFO - sentence_transformers.SentenceTransformer - Load SentenceTransformer from folder: /root/.cache/torch/sentence_transformers/sbert.net_models_distilroberta-base-msmarco-v2\n"
],
"name": "stderr"
}
]
},
{
"cell_type": "code",
"metadata": {
"id": "rQFb4Xf3yoPW"
},
"source": [
"# Delete existing documents in documents store\r\n",
"document_store_es.delete_all_documents()\r\n",
"\r\n",
"# Write documents to document store\r\n",
"document_store_es.write_documents(food_data_to_upload)\r\n",
"\r\n",
"# Add documents embeddings to index\r\n",
"print('Updating...')\r\n",
"document_store_es.update_embeddings(\r\n",
" retriever=retriever\r\n",
")"
],
"execution_count": null,
"outputs": []
},
{
"cell_type": "markdown",
"metadata": {
"id": "GD5UD6FVy5gD"
},
"source": [
"### Results"
]
},
{
"cell_type": "code",
"metadata": {
"id": "QroFglDlMyCK"
},
"source": [
"def get_search_result(query, retrieverType, n_docs=3):\r\n",
" return [(item.text, item.to_dict()['meta']['url']) for item in retrieverType.retrieve(q, top_k = n_docs)]"
],
"execution_count": null,
"outputs": []
},
{
"cell_type": "code",
"metadata": {
"colab": {
"base_uri": "https://localhost:8080/",
"height": 279,
"referenced_widgets": [
"07a86141b6614eb796313ceb111e8f49",
"0d1d020a0fca4bdeb2fb3fa0b9cb923c",
"db17f55cf3ce4ebb9b1e6cc8630130d8",
"6d53d0a40cf44edf81fab6aca058fe17",
"e400e78c81e94763a83a4d3ebaa6994e",
"2423b7ff8edb43b190f4de41f1c1069b",
"82cab4ae82e446f99f0409d6f930c93c",
"6f7e8e2a5ffa4ed796db9036e283543a",
"616d4dcf4f6047419e21ab46d562e340",
"eae10dcf125f4e84a7656e4c00290fd3",
"c1a3372719e341ff9cdfdcf385382bb2",
"c5b824d3dbb74642bcbcd65bc5d3d3d1",
"6bb0d933225949888e50a690c079b899",
"7594710b129547cd98dbfc5d1a800b4c",
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"b1164dacef344ca39179af5eef9da4bc"
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"id": "JtxclCwWNW4r",
"outputId": "1aec1463-a704-41c5-eea1-ac337f8a2022"
},
"source": [
"q = 'pipneapple banana cake'\r\n",
"print('-'*100)\r\n",
"print('FAISS')\r\n",
"print(get_search_result(q, retriever_faiss))\r\n",
"print('-'*100)\r\n",
"print('ElasticSearch Dense')\r\n",
"print(get_search_result(q, retriever_es))\r\n",
"print('-'*100)"
],
"execution_count": null,
"outputs": [
{
"output_type": "stream",
"text": [
"----------------------------------------------------------------------------------------------------\n",
"FAISS\n"
],
"name": "stdout"
},
{
"output_type": "display_data",
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{
"output_type": "stream",
"text": [
"\n",
"[('Pineapple Raisin Custard Bun', 'http://world-en.openfoodfacts.org/product/0874918000519/pineapple-raisin-custard-bun-sogo-bakery'), ('Pineapple Frozen Fruit Bars', 'http://world-en.openfoodfacts.org/product/0804551219696/pineapple-frozen-fruit-bars-modern-pop'), ('Baked Peach Pie', 'http://world-en.openfoodfacts.org/product/0796220077112/baked-peach-pie-market-pantry')]\n",
"----------------------------------------------------------------------------------------------------\n",
"ElasticSearch Dense\n"
],
"name": "stdout"
},
{
"output_type": "display_data",
"data": {
"application/vnd.jupyter.widget-view+json": {
"model_id": "616d4dcf4f6047419e21ab46d562e340",
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}
},
{
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"text": [
"\n"
],
"name": "stdout"
},
{
"output_type": "stream",
"text": [
"02/23/2021 09:35:32 - INFO - elasticsearch - POST http://localhost:9200/food_haystack_embedding/_search [status:200 request:39.599s]\n"
],
"name": "stderr"
},
{
"output_type": "stream",
"text": [
"[('Coconut Pineapple Creme Cake', 'http://world-en.openfoodfacts.org/product/0071214054301/coconut-pineapple-creme-cake-old-home-kitchens'), ('Pineapple Pie', 'http://world-en.openfoodfacts.org/product/0077317400052/pineapple-pie-country-baker'), ('Pineapple Pie', 'http://world-en.openfoodfacts.org/product/0075977001428/pineapple-pie-mrs-redd-s')]\n",
"----------------------------------------------------------------------------------------------------\n"
],
"name": "stdout"
}
]
}
]
}
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