Create an index
Create a search index over your JSON documents with FT.CREATE, choose the right field types, and understand how Redis indexes arrays.
This is step 2 of the Redis Search tutorial.
Currently, you can fetch a product only if you already know its key. An index — also called a secondary index, because it's a lookup structure maintained alongside your primary data — changes that: it tells Redis which fields to track and how, so you can ask questions like "which products cost less than $100?" or "which ones mention wireless?" and get answers quickly.
What an index does
When you create an index, you give Redis three things:
- What to index — which keys belong to the index, selected by a key prefix (here,
product:). - The data type — whether those keys hold hashes (
ON HASH) or JSON documents (ON JSON). - The schema — which fields to index, the path to each one, and what type each field is.
Once the index exists, Redis keeps it up to date automatically. Any product: document you add or change after creating the index is indexed immediately, and the documents you loaded earlier are indexed right away.
Field types
Redis Search has a few core field types. Choosing the right one for each field determines how you can query it:
| Field type | Use it for | Example query |
|---|---|---|
TEXT |
Human language you want to search by words and partial matches. | find products whose description contains wireless |
TAG |
Exact-value labels and categories you filter on as a whole. | find products where category is exactly Audio |
NUMERIC |
Numbers you filter by range or sort by. | find products priced between 0 and 100 |
VECTOR |
Embeddings for similarity search (covered in the last step). | find products similar in meaning to a query |
For the catalog, a good mapping is: name and description are TEXT (you want word search), brand and category are TAG (exact labels), and price, rating, review_count, stock, and release_year are NUMERIC. The features field is a list of exact labels, so it is also a TAG.
Create the index
Reload products data
Foundational: Load the tutorial dataset as JSON documents under a shared key prefix using JSON.SET
catalog = [
{
"name": "Aurora AcousticPro Headphones",
"brand": "Aurora",
"category": "Audio",
"description": (
"Over-ear wireless headphones with active noise cancelling and a "
"40-hour battery. Plush memory-foam earcups and a lightweight frame "
"make them comfortable for all-day listening, whether you are "
"commuting, working, or relaxing at home."
),
"price": 199.99,
"rating": 4.6,
"review_count": 1284,
"stock": 42,
"release_year": 2024,
"features": ["wireless", "noise-cancelling", "bluetooth", "over-ear"],
"specs": {"color": "midnight black", "weight_grams": 268, "warranty_years": 2},
},
{
"name": "Aurora BudsMini Earbuds",
"brand": "Aurora",
"category": "Audio",
"description": (
"Tiny true-wireless earbuds with a secure in-ear fit and sweat "
"resistance for workouts. The compact charging case slips into a "
"pocket and delivers three full recharges on the go."
),
"price": 89.99,
"rating": 4.3,
"review_count": 942,
"stock": 130,
"release_year": 2023,
"features": ["wireless", "bluetooth", "in-ear", "water-resistant"],
"specs": {"color": "pearl white", "weight_grams": 5, "warranty_years": 1},
},
{
"name": "Sonus Boom Portable Speaker",
"brand": "Sonus",
"category": "Audio",
"description": (
"A rugged portable Bluetooth speaker with deep bass and a waterproof "
"shell. Toss it in a bag for the beach or a campsite and enjoy "
"room-filling sound for up to 20 hours per charge."
),
"price": 129.5,
"rating": 4.5,
"review_count": 512,
"stock": 64,
"release_year": 2024,
"features": ["wireless", "bluetooth", "portable", "waterproof"],
"specs": {"color": "slate gray", "weight_grams": 540, "warranty_years": 1},
},
{
"name": "Pixma Vortex 15 Laptop",
"brand": "Pixma",
"category": "Computers",
"description": (
"A thin-and-light 15-inch laptop with a fast multi-core processor, "
"16 GB of memory, and a speedy solid-state drive. The backlit keyboard "
"and bright display make it a capable companion for work and study."
),
"price": 1399.0,
"rating": 4.7,
"review_count": 318,
"stock": 18,
"release_year": 2024,
"features": ["laptop", "ssd", "backlit-keyboard", "lightweight"],
"specs": {"color": "space silver", "weight_grams": 1600, "warranty_years": 2},
},
{
"name": "Pixma UltraView 27 Monitor",
"brand": "Pixma",
"category": "Computers",
"description": (
"A 27-inch 4K monitor with an IPS panel for accurate colors and wide "
"viewing angles. A single USB-C cable carries video and power, keeping "
"your desk tidy."
),
"price": 329.99,
"rating": 4.4,
"review_count": 221,
"stock": 27,
"release_year": 2023,
"features": ["monitor", "4k", "ips", "usb-c"],
"specs": {"color": "black", "weight_grams": 5200, "warranty_years": 3},
},
{
"name": "Clackr Mechanical Keyboard",
"brand": "Clackr",
"category": "Accessories",
"description": (
"A compact mechanical keyboard with tactile switches, per-key RGB "
"lighting, and wireless connectivity. Hot-swappable switches let you "
"tune the typing feel without soldering."
),
"price": 119.0,
"rating": 4.8,
"review_count": 1502,
"stock": 88,
"release_year": 2024,
"features": ["keyboard", "mechanical", "rgb", "wireless"],
"specs": {"color": "graphite", "weight_grams": 720, "warranty_years": 2},
},
{
"name": "Glide Pro Wireless Mouse",
"brand": "Glide",
"category": "Accessories",
"description": (
"An ergonomic wireless mouse with a high-precision sensor and a "
"contoured shape that reduces wrist strain. A single charge lasts for "
"weeks of everyday use."
),
"price": 59.99,
"rating": 4.2,
"review_count": 869,
"stock": 150,
"release_year": 2022,
"features": ["mouse", "wireless", "ergonomic"],
"specs": {"color": "charcoal", "weight_grams": 98, "warranty_years": 1},
},
{
"name": "Pulse Series 6 Smartwatch",
"brand": "Pulse",
"category": "Wearables",
"description": (
"A sleek smartwatch with built-in GPS, continuous heart-rate "
"monitoring, and water resistance for swimming. Track workouts, sleep, "
"and notifications from your wrist."
),
"price": 249.0,
"rating": 4.5,
"review_count": 1733,
"stock": 51,
"release_year": 2024,
"features": ["smartwatch", "gps", "heart-rate", "water-resistant"],
"specs": {"color": "rose gold", "weight_grams": 38, "warranty_years": 1},
},
{
"name": "Pulse Band Fitness Tracker",
"brand": "Pulse",
"category": "Wearables",
"description": (
"A lightweight fitness band that tracks steps, heart rate, and sleep "
"stages. The slim screen shows daily progress and the battery lasts a "
"full week between charges."
),
"price": 79.99,
"rating": 4.1,
"review_count": 2210,
"stock": 200,
"release_year": 2023,
"features": ["fitness-tracker", "heart-rate", "sleep-tracking"],
"specs": {"color": "ocean blue", "weight_grams": 24, "warranty_years": 1},
},
{
"name": "Lumi Glow Smart Bulb",
"brand": "Lumi",
"category": "Home",
"description": (
"A color-changing smart bulb that connects over Wi-Fi and works with "
"voice assistants. Dim it for movie night or set a warm white for "
"reading, all from your phone."
),
"price": 24.99,
"rating": 4.0,
"review_count": 640,
"stock": 320,
"release_year": 2022,
"features": ["smart-home", "wifi", "dimmable", "color"],
"specs": {"color": "white", "weight_grams": 70, "warranty_years": 2},
},
{
"name": "Lumi Climate Smart Thermostat",
"brand": "Lumi",
"category": "Home",
"description": (
"A learning smart thermostat that adjusts heating and cooling to your "
"routine and helps lower energy bills. The crisp display and Wi-Fi app "
"make scheduling effortless."
),
"price": 149.0,
"rating": 4.6,
"review_count": 388,
"stock": 75,
"release_year": 2024,
"features": ["smart-home", "wifi", "energy-saving"],
"specs": {"color": "white", "weight_grams": 210, "warranty_years": 3},
},
{
"name": "Vista Action Cam 4K",
"brand": "Vista",
"category": "Cameras",
"description": (
"A pocket-sized action camera that shoots stabilized 4K video and is "
"waterproof without a case. Mount it on a helmet or bike and capture "
"your adventures in sharp detail."
),
"price": 299.0,
"rating": 4.3,
"review_count": 455,
"stock": 33,
"release_year": 2023,
"features": ["camera", "4k", "waterproof", "wifi"],
"specs": {"color": "black", "weight_grams": 128, "warranty_years": 1},
},
]
for product_id, product in enumerate(catalog, start=1):
r.json().set(f"product:{product_id}", Path.root_path(), product)
"""
Code samples for the search and query tutorial:
https://redis.io/docs/latest/develop/get-started/search-tutorial/
"""
import json
import redis
import redis.commands.search.aggregation as aggregations
import redis.commands.search.reducers as reducers
from redis.commands.json.path import Path
from redis.commands.search.field import (
NumericField,
TagField,
TextField,
VectorField,
)
from redis.commands.search.index_definition import IndexDefinition, IndexType
from redis.commands.search.query import Query
r = redis.Redis(host="localhost", port=6379, db=0, decode_responses=True)
r.hset(
"product:1",
mapping={
"name": "Aurora AcousticPro Headphones",
"brand": "Aurora",
"category": "Audio",
"price": 199.99,
"rating": 4.6,
},
)
# >>> 5
r.json().set(
"product:1",
Path.root_path(),
{
"name": "Aurora AcousticPro Headphones",
"brand": "Aurora",
"category": "Audio",
"price": 199.99,
"rating": 4.6,
"features": ["wireless", "noise-cancelling", "bluetooth"],
"specs": {"color": "midnight black", "weight_grams": 268},
},
)
# >>> True
catalog = [
{
"name": "Aurora AcousticPro Headphones",
"brand": "Aurora",
"category": "Audio",
"description": (
"Over-ear wireless headphones with active noise cancelling and a "
"40-hour battery. Plush memory-foam earcups and a lightweight frame "
"make them comfortable for all-day listening, whether you are "
"commuting, working, or relaxing at home."
),
"price": 199.99,
"rating": 4.6,
"review_count": 1284,
"stock": 42,
"release_year": 2024,
"features": ["wireless", "noise-cancelling", "bluetooth", "over-ear"],
"specs": {"color": "midnight black", "weight_grams": 268, "warranty_years": 2},
},
{
"name": "Aurora BudsMini Earbuds",
"brand": "Aurora",
"category": "Audio",
"description": (
"Tiny true-wireless earbuds with a secure in-ear fit and sweat "
"resistance for workouts. The compact charging case slips into a "
"pocket and delivers three full recharges on the go."
),
"price": 89.99,
"rating": 4.3,
"review_count": 942,
"stock": 130,
"release_year": 2023,
"features": ["wireless", "bluetooth", "in-ear", "water-resistant"],
"specs": {"color": "pearl white", "weight_grams": 5, "warranty_years": 1},
},
{
"name": "Sonus Boom Portable Speaker",
"brand": "Sonus",
"category": "Audio",
"description": (
"A rugged portable Bluetooth speaker with deep bass and a waterproof "
"shell. Toss it in a bag for the beach or a campsite and enjoy "
"room-filling sound for up to 20 hours per charge."
),
"price": 129.5,
"rating": 4.5,
"review_count": 512,
"stock": 64,
"release_year": 2024,
"features": ["wireless", "bluetooth", "portable", "waterproof"],
"specs": {"color": "slate gray", "weight_grams": 540, "warranty_years": 1},
},
{
"name": "Pixma Vortex 15 Laptop",
"brand": "Pixma",
"category": "Computers",
"description": (
"A thin-and-light 15-inch laptop with a fast multi-core processor, "
"16 GB of memory, and a speedy solid-state drive. The backlit keyboard "
"and bright display make it a capable companion for work and study."
),
"price": 1399.0,
"rating": 4.7,
"review_count": 318,
"stock": 18,
"release_year": 2024,
"features": ["laptop", "ssd", "backlit-keyboard", "lightweight"],
"specs": {"color": "space silver", "weight_grams": 1600, "warranty_years": 2},
},
{
"name": "Pixma UltraView 27 Monitor",
"brand": "Pixma",
"category": "Computers",
"description": (
"A 27-inch 4K monitor with an IPS panel for accurate colors and wide "
"viewing angles. A single USB-C cable carries video and power, keeping "
"your desk tidy."
),
"price": 329.99,
"rating": 4.4,
"review_count": 221,
"stock": 27,
"release_year": 2023,
"features": ["monitor", "4k", "ips", "usb-c"],
"specs": {"color": "black", "weight_grams": 5200, "warranty_years": 3},
},
{
"name": "Clackr Mechanical Keyboard",
"brand": "Clackr",
"category": "Accessories",
"description": (
"A compact mechanical keyboard with tactile switches, per-key RGB "
"lighting, and wireless connectivity. Hot-swappable switches let you "
"tune the typing feel without soldering."
),
"price": 119.0,
"rating": 4.8,
"review_count": 1502,
"stock": 88,
"release_year": 2024,
"features": ["keyboard", "mechanical", "rgb", "wireless"],
"specs": {"color": "graphite", "weight_grams": 720, "warranty_years": 2},
},
{
"name": "Glide Pro Wireless Mouse",
"brand": "Glide",
"category": "Accessories",
"description": (
"An ergonomic wireless mouse with a high-precision sensor and a "
"contoured shape that reduces wrist strain. A single charge lasts for "
"weeks of everyday use."
),
"price": 59.99,
"rating": 4.2,
"review_count": 869,
"stock": 150,
"release_year": 2022,
"features": ["mouse", "wireless", "ergonomic"],
"specs": {"color": "charcoal", "weight_grams": 98, "warranty_years": 1},
},
{
"name": "Pulse Series 6 Smartwatch",
"brand": "Pulse",
"category": "Wearables",
"description": (
"A sleek smartwatch with built-in GPS, continuous heart-rate "
"monitoring, and water resistance for swimming. Track workouts, sleep, "
"and notifications from your wrist."
),
"price": 249.0,
"rating": 4.5,
"review_count": 1733,
"stock": 51,
"release_year": 2024,
"features": ["smartwatch", "gps", "heart-rate", "water-resistant"],
"specs": {"color": "rose gold", "weight_grams": 38, "warranty_years": 1},
},
{
"name": "Pulse Band Fitness Tracker",
"brand": "Pulse",
"category": "Wearables",
"description": (
"A lightweight fitness band that tracks steps, heart rate, and sleep "
"stages. The slim screen shows daily progress and the battery lasts a "
"full week between charges."
),
"price": 79.99,
"rating": 4.1,
"review_count": 2210,
"stock": 200,
"release_year": 2023,
"features": ["fitness-tracker", "heart-rate", "sleep-tracking"],
"specs": {"color": "ocean blue", "weight_grams": 24, "warranty_years": 1},
},
{
"name": "Lumi Glow Smart Bulb",
"brand": "Lumi",
"category": "Home",
"description": (
"A color-changing smart bulb that connects over Wi-Fi and works with "
"voice assistants. Dim it for movie night or set a warm white for "
"reading, all from your phone."
),
"price": 24.99,
"rating": 4.0,
"review_count": 640,
"stock": 320,
"release_year": 2022,
"features": ["smart-home", "wifi", "dimmable", "color"],
"specs": {"color": "white", "weight_grams": 70, "warranty_years": 2},
},
{
"name": "Lumi Climate Smart Thermostat",
"brand": "Lumi",
"category": "Home",
"description": (
"A learning smart thermostat that adjusts heating and cooling to your "
"routine and helps lower energy bills. The crisp display and Wi-Fi app "
"make scheduling effortless."
),
"price": 149.0,
"rating": 4.6,
"review_count": 388,
"stock": 75,
"release_year": 2024,
"features": ["smart-home", "wifi", "energy-saving"],
"specs": {"color": "white", "weight_grams": 210, "warranty_years": 3},
},
{
"name": "Vista Action Cam 4K",
"brand": "Vista",
"category": "Cameras",
"description": (
"A pocket-sized action camera that shoots stabilized 4K video and is "
"waterproof without a case. Mount it on a helmet or bike and capture "
"your adventures in sharp detail."
),
"price": 299.0,
"rating": 4.3,
"review_count": 455,
"stock": 33,
"release_year": 2023,
"features": ["camera", "4k", "waterproof", "wifi"],
"specs": {"color": "black", "weight_grams": 128, "warranty_years": 1},
},
]
for product_id, product in enumerate(catalog, start=1):
r.json().set(f"product:{product_id}", Path.root_path(), product)
res = r.json().get("product:1", "$.name")
print(res) # >>> ['Aurora AcousticPro Headphones']
schema = (
TextField("$.name", as_name="name"),
TagField("$.brand", as_name="brand", sortable=True),
TagField("$.category", as_name="category"),
TextField("$.description", as_name="description"),
NumericField("$.price", as_name="price", sortable=True),
NumericField("$.rating", as_name="rating", sortable=True),
NumericField("$.review_count", as_name="review_count"),
NumericField("$.stock", as_name="stock"),
NumericField("$.release_year", as_name="release_year", sortable=True),
TagField("$.features[*]", as_name="features"),
)
index = r.ft("idx:catalog")
index.create_index(
schema,
definition=IndexDefinition(prefix=["product:"], index_type=IndexType.JSON),
)
info = r.ft("idx:catalog").info()
print("Documents indexed:", info["num_docs"]) # >>> Documents indexed: 12
res = index.search(Query("*").paging(0, 0))
print("Total products:", res.total) # >>> Total products: 12
res = index.search(Query("@name:headphones").return_field("name"))
print(res.docs)
# >>> [Document {'id': 'product:1', ... 'name': 'Aurora AcousticPro Headphones'}]
res = index.search(Query('@description:"noise cancelling"').return_field("name"))
print(res.total, [d.name for d in res.docs])
# >>> 1 ['Aurora AcousticPro Headphones']
res = index.search(Query("@category:{Audio}").return_fields("name", "price"))
print(res.total, [d.name for d in res.docs])
# >>> 3 ['Aurora BudsMini Earbuds', 'Sonus Boom Portable Speaker', ...]
res = index.search(Query("@features:{waterproof}").return_field("name"))
print(res.total, [d.name for d in res.docs])
# >>> 2 ['Sonus Boom Portable Speaker', 'Vista Action Cam 4K']
res = index.search(
Query("@price:[0 100]").sort_by("price", asc=True).return_fields("name", "price")
)
print([(d.name, d.price) for d in res.docs])
# >>> [('Lumi Glow Smart Bulb', '24.99'), ('Glide Pro Wireless Mouse', '59.99'), ...]
res = index.search(
Query("@category:{Audio} @price:[0 100]").return_fields("name", "price")
)
print(res.total, [d.name for d in res.docs])
# >>> 1 ['Aurora BudsMini Earbuds']
res = index.search(
Query("*").sort_by("price", asc=False).return_fields("name", "price").paging(0, 3)
)
print([(d.name, d.price) for d in res.docs])
# >>> [('Pixma Vortex 15 Laptop', '1399'), ('Pixma UltraView 27 Monitor', '329.99'), ...]
req = aggregations.AggregateRequest("*").group_by(
"@category", reducers.count().alias("count")
)
res = index.aggregate(req).rows
print(res)
# >>> [['category', 'Audio', 'count', '3'], ['category', 'Computers', 'count', '2'], ...]
req = (
aggregations.AggregateRequest("*")
.group_by("@category", reducers.avg("@price").alias("avg_price"))
.sort_by(aggregations.Desc("@avg_price"))
)
res = index.aggregate(req).rows
print(res)
# >>> [['category', 'Computers', 'avg_price', '864.495'], ...]
req = (
aggregations.AggregateRequest("@category:{Audio}")
.load("name", "price")
.apply(sale_price="@price - (@price * 0.1)")
)
res = index.aggregate(req).rows
print(res)
# >>> [['name', 'Aurora AcousticPro Headphones', 'price', '199.99', 'sale_price', '179.991'], ...]
req = (
aggregations.AggregateRequest("*")
.group_by("@brand", reducers.avg("@rating").alias("avg_rating"))
.sort_by(aggregations.Desc("@avg_rating"))
)
res = index.aggregate(req).rows
print(res)
# >>> [['brand', 'Clackr', 'avg_rating', '4.8'], ['brand', 'Pixma', 'avg_rating', '4.55'], ...]
from sentence_transformers import SentenceTransformer
embedder = SentenceTransformer("msmarco-distilbert-base-v4") # 768-dimensional vectors
for key in r.scan_iter(match="product:*"):
description = r.json().get(key, "$.description")[0]
embedding = embedder.encode(description).astype("float32").tolist()
r.json().set(key, "$.embedding", embedding)
r.ft("idx:catalog").dropindex()
schema = (
TextField("$.name", as_name="name"),
TagField("$.brand", as_name="brand", sortable=True),
TagField("$.category", as_name="category"),
TextField("$.description", as_name="description"),
NumericField("$.price", as_name="price", sortable=True),
NumericField("$.rating", as_name="rating", sortable=True),
TagField("$.features[*]", as_name="features"),
VectorField(
"$.embedding",
"FLAT",
{"TYPE": "FLOAT32", "DIM": 768, "DISTANCE_METRIC": "COSINE"},
as_name="embedding",
),
)
index = r.ft("idx:catalog")
index.create_index(
schema,
definition=IndexDefinition(prefix=["product:"], index_type=IndexType.JSON),
)
query_vector = (
embedder.encode("portable music for the outdoors").astype("float32").tobytes()
)
res = index.search(
Query("(*)=>[KNN 3 @embedding $query_vector AS score]")
.sort_by("score", asc=True)
.return_fields("score", "name")
.dialect(2),
query_params={"query_vector": query_vector},
)
print([d.name for d in res.docs])
# >>> ['Sonus Boom Portable Speaker', 'Aurora BudsMini Earbuds', 'Aurora AcousticPro Headphones']
res = index.search(
Query("(@category:{Audio})=>[KNN 3 @embedding $query_vector AS score]")
.sort_by("score", asc=True)
.return_field("name")
.dialect(2),
query_params={"query_vector": query_vector},
)
print([d.name for d in res.docs])
# >>> ['Sonus Boom Portable Speaker', 'Aurora BudsMini Earbuds', 'Aurora AcousticPro Headphones']
hybrid_vector = (
embedder.encode("wireless headphones for listening to music")
.astype("float32")
.tobytes()
)
res = r.execute_command(
"FT.HYBRID",
"idx:catalog",
"SEARCH",
"wireless",
"VSIM",
"@embedding",
"$query_vector",
"KNN",
"2",
"K",
"5",
"LOAD",
"1",
"@name",
"PARAMS",
"2",
"query_vector",
hybrid_vector,
)
print(res)
# >>> {'total_results': 7, 'results': [{'name': 'Aurora AcousticPro Headphones'}, ...]}
Use FT.CREATE to define the index. Because the data is JSON, each field is identified by a JSONPath expression, and AS gives it a short alias to use in queries:
Foundational: Create an index over JSON documents with FT.CREATE, mapping JSONPaths to TEXT, TAG, and NUMERIC fields
schema = (
TextField("$.name", as_name="name"),
TagField("$.brand", as_name="brand", sortable=True),
TagField("$.category", as_name="category"),
TextField("$.description", as_name="description"),
NumericField("$.price", as_name="price", sortable=True),
NumericField("$.rating", as_name="rating", sortable=True),
NumericField("$.review_count", as_name="review_count"),
NumericField("$.stock", as_name="stock"),
NumericField("$.release_year", as_name="release_year", sortable=True),
TagField("$.features[*]", as_name="features"),
)
index = r.ft("idx:catalog")
index.create_index(
schema,
definition=IndexDefinition(prefix=["product:"], index_type=IndexType.JSON),
)
A few things to notice:
PREFIX 1 product:means "index every key that starts withproduct:". The1is the number of prefixes that follow.AS name,AS price, ... define the alias you use in queries (@name,@price). Without an alias, you would have to write the full JSONPath in every query.SORTABLEon a field lets you sort results by it efficiently. Add it to fields you expect to sort by, such aspriceandrating.$.features[*]ends in[*], which matters for arrays. More on that next.
You only create an index once. If you make a mistake, remove it with FT.DROPINDEX (this deletes the index, not your documents) and create it again.
Indexing arrays: the [*] you should not forget
The features field is a JSON array like ["wireless", "bluetooth", "waterproof"]. To index each element as its own tag, the JSONPath ends in [*]:
$.features[*] AS features TAG
This is the single most common point of confusion when indexing JSON, so it is worth understanding:
- With
$.features[*], Redis indexeswireless,bluetooth, andwaterproofas three separate tags. A query for@features:{waterproof}matches the document. - With
$.features(no[*]) on a JSON array, the behavior is not what you want for filtering element-by-element.
Note:
This behavior differs between hashes and JSON, which trips up many newcomers. In a hash, a TAG field splits on commas by default, so "wireless,bluetooth" becomes two tags automatically. In JSON, there is no automatic splitting: index array elements with [*], or if you store a comma-separated string, add SEPARATOR "," to the field definition. For the full explanation, see Index JSON arrays as TAG.Check the index
After creating the index, you can confirm it picked up your documents. FT.INFO reports details about an index, including how many documents it contains:
Foundational: Inspect an index with FT.INFO to confirm it exists and see how many documents it contains
info = r.ft("idx:catalog").info()
print("Documents indexed:", info["num_docs"]) # >>> Documents indexed: 12
Look for num_docs in the output; it should be 12, one for each product you loaded.
Try it in Redis Insight:
In the Redis Insight Search workspace, your new idx:catalog index appears in the list of indexes. Selecting it shows the schema you just defined — the fields, their types, and their aliases — without having to read the raw FT.INFO output.Next steps
Your data is indexed. Continue to searching and filtering to start asking questions of it.