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fix some typos
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‎python-recipes/vector-search/05_multivector_search.ipynb‎

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@@ -26,7 +26,18 @@
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"metadata": {},
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"outputs": [],
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"source": [
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"%pip install \"redisvl>=0.9.0\""
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"%pip install \"redisvl>0.9.1\""
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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": null,
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"metadata": {},
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"outputs": [],
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"source": [
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"import redisvl\n",
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"# check version\n",
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"redisvl.__version__"
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]
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},
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{
@@ -119,7 +130,7 @@
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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": 6,
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"metadata": {},
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"outputs": [],
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"source": [
@@ -131,7 +142,8 @@
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"REDIS_PASSWORD = os.getenv(\"REDIS_PASSWORD\", \"\") # ex: \"1TNxTEdYRDgIDKM2gDfasupCADXXXX\"\n",
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"\n",
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"# If SSL is enabled on the endpoint, use rediss:// as the URL prefix\n",
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"REDIS_URL = f\"redis://:{REDIS_PASSWORD}@{REDIS_HOST}:{REDIS_PORT}\""
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"# REDIS_URL = f\"redis://:{REDIS_PASSWORD}@{REDIS_HOST}:{REDIS_PORT}\"\n",
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"REDIS_URL = \"redis://localhost:6380\" # running redis 8 here"
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]
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},
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{
@@ -143,9 +155,20 @@
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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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"metadata": {},
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"outputs": [],
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"outputs": [
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{
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"data": {
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"text/plain": [
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"True"
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]
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},
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"execution_count": 7,
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"metadata": {},
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"output_type": "execute_result"
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}
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],
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"source": [
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"from redis import Redis\n",
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"\n",
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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": 8,
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"metadata": {},
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"outputs": [],
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"source": [
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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": 9,
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"metadata": {},
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"outputs": [],
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"outputs": [
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{
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"name": "stdout",
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"output_type": "stream",
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"text": [
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"13:55:47 datasets INFO PyTorch version 2.3.0 available.\n",
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"13:55:48 sentence_transformers.SentenceTransformer INFO Use pytorch device_name: mps\n",
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"13:55:48 sentence_transformers.SentenceTransformer INFO Load pretrained SentenceTransformer: sentence-transformers/all-MiniLM-L6-v2\n",
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"13:55:50 sentence_transformers.SentenceTransformer INFO Use pytorch device_name: mps\n",
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"13:55:50 sentence_transformers.SentenceTransformer INFO Load pretrained SentenceTransformer: sentence-transformers/all-mpnet-base-v2\n",
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"13:55:51 sentence_transformers.SentenceTransformer INFO Use pytorch device_name: mps\n",
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"13:55:51 sentence_transformers.SentenceTransformer INFO Load pretrained SentenceTransformer: sentence-transformers/paraphrase-multilingual-MiniLM-L12-v2\n"
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]
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}
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],
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"source": [
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"from redisvl.utils.vectorize import HFTextVectorizer\n",
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"from redisvl.extensions.cache.embeddings import EmbeddingsCache\n",
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"\n",
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"# Model 1: General purpose embeddings (what we used before)\n",
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"general_model = HFTextVectorizer(\n",
@@ -195,7 +233,7 @@
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" name=\"embedcache_general\",\n",
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" ttl=600,\n",
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" redis_client=client,\n",
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" )\n",
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" ),\n",
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" dtype=\"float64\"\n",
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")\n",
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"\n",
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" name=\"embedcache_movie\",\n",
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" ttl=600,\n",
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" redis_client=client,\n",
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" )\n",
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" ),\n",
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" dtype=\"float32\"\n",
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")\n",
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"\n",
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" name=\"embedcache_genre\",\n",
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" ttl=600,\n",
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" redis_client=client,\n",
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" )\n",
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" ),\n",
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" dtype=\"float32\"\n",
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")"
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]
@@ -234,9 +272,18 @@
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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": 10,
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"metadata": {},
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"outputs": [],
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"outputs": [
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{
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"name": "stdout",
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"output_type": "stream",
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"text": [
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"Generating multiple embeddings for movies...\n",
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"Generated embeddings for 20 movies\n"
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]
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}
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],
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"source": [
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"# Generate multiple embeddings for each movie\n",
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"print(\"Generating multiple embeddings for movies...\")\n",
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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": 12,
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"metadata": {},
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"outputs": [],
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"outputs": [
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{
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"name": "stdout",
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"output_type": "stream",
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"text": [
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"13:56:14 redisvl.index.index INFO Index already exists, overwriting.\n",
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"Multi-vector index created and populated successfully!\n"
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]
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}
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],
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"source": [
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"from redisvl.schema import IndexSchema\n",
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"from redisvl.index import SearchIndex\n",
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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": 13,
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"metadata": {},
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"outputs": [],
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"outputs": [
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{
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"name": "stdout",
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"output_type": "stream",
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"text": [
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"1. The Incredibles \n",
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" Genre: comedy, Rating: 8\n",
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" Description: A family of undercover superheroes, while trying to live the quiet suburban life, are forced into ac...\n",
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"\n",
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"2. The Avengers \n",
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" Genre: action, Rating: 8\n",
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" Description: Earth's mightiest heroes come together to stop an alien invasion that threatens the entire planet....\n",
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"\n",
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"3. Mad Max: Fury Road \n",
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" Genre: action, Rating: 8\n",
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" Description: In a post-apocalyptic wasteland, Max teams up with Furiosa to escape a tyrant's clutches and find fr...\n",
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"\n",
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"4. John Wick \n",
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" Genre: action, Rating: 8\n",
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" Description: A retired hitman seeks vengeance against those who wronged him, leaving a trail of destruction in hi...\n",
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"\n",
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"5. The Dark Knight \n",
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" Genre: action, Rating: 9\n",
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" Description: Batman faces off against the Joker, a criminal mastermind who threatens to plunge Gotham into chaos....\n",
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"\n"
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]
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}
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],
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"source": [
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"from redisvl.query import Vector\n",
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"from redisvl.query import Vector, MultiVectorQuery\n",
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"query_text = \"action movie with superheroes and explosions\"\n",
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"\n",
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"num_results = 5\n",
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"\n",
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"# Create Vector objects for each embedding model\n",
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"query_vectors = [\n",
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" Vector(\n",
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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": 14,
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"metadata": {},
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"outputs": [],
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"source": [
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"# clean up!\n",
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"index.delete()"
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"multi_vector_index.delete()"
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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": "redis-ai-res",
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"display_name": "3.11.9",
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"language": "python",
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"name": "python3"
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},

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