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COMMUNITY EDITION


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REDIS SOFTWARE


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SPEND MORE TIME BUILDING


CACHE

Build better experiences that grow with you—with accessible, enterprise-grade
caching built by the devs who brought you open source Redis.

res11 = r.json().set(“newbike”, “$”, [“Deimos”, {“crashes”: 0}, None])
print(res11) # >>> True

res12 = r.json().get(“newbike”, “$”)
print(res12) # >>> [‘[“Deimos”, { “crashes”: 0 }, null]’]

res13 = r.json().get(“newbike”, “$[1].crashes”)
print(res13) # >>> [‘0’]

res14 = r.json().delete(“newbike”, “$.[-1]”)
print(res14) # >>> [1]

res15 = r.json().get(“newbike”, “$”)
print(res15) # >>> [[‘Deimos’, {‘crashes’: 0}]]
Learn more


VECTOR

The best results are the results you were searching for. Make your AI app
smarter and faster with streamlined document search, recommendation systems,
semantic caching, and Retrieval Augmented Generation (RAG).

# Create a vector index using the HNSW algorithm, 768 dimension length, and
inner product distance metric
> FT.CREATE idx-videos ON HASH PREFIX 1 video: SCHEMA content_vector VECTOR HNSW
6 TYPE FLOAT32 DIM 768 DISTANCE_METRIC IP content TEXT metadata TEXT

# Add a video vector with metadata
> HSET video:0 content_vector
“\xa4q\t=\xc1\xdes\xbdZ$<\xbd\xd5\xc1\x99<b\xf0\xf2<x[…\xf8<” content
“SUMMARY:\nThe video discusses the limitations of MySQL at scale and introduces
Redis Enterprise” metadata
“{\”id\”:\”FQzlq91g7mg\”,\”link\”:\”https://www.youtube.com/watch?v=FQzlq91g7mg\”,\”title\”:\”Redis
+ MySQL in 60 Seconds\”}”
(integer) 3

# Search for videos using a similar vector and the K-nearest neighbors algorithm
> FT.SEARCH idx-videos “* => [KNN 3 @content_vector $vector AS vector_score]”
RETURN 3 metadata content vector_score SORTBY vector_score LIMIT 0 3 PARAMS 2
vector “\b[\xb7;\x81\x12\x9c\xbc\xc6!…\xfe<” DIALECT 2
Learn more


DATABASE

Use Redis as your NoSQL database to build fast, reliable apps that make five-9s
uptime look easy.

# Create an index. In this example, all JSON documents with the key prefix user:
will be indexed.
rs = r.ft(“idx:users”)
rs.create_index(
schema,
definition=IndexDefinition(
prefix=[“user:”], index_type=IndexType.JSON
)
)

# Use JSON.SET to set each user value at the specified path.
r.json().set(“user:1”, Path.root_path(), user1)
r.json().set(“user:2”, Path.root_path(), user2)
r.json().set(“user:3”, Path.root_path(), user3)

# Find the user Paul and filter the results by age.
res = rs.search(
Query(“Paul @age:[30 40]”)
)

# Result{1 total, docs: [Document {‘id’: ‘user:3’, ‘payload’: None, ‘json’:
‘{“name”:”Paul Zamir”,”email”:”paul.zamir@example.com”,”age”:35,”city”:”Tel
Aviv”}’}]}

# b’OK’

Learn more
res11 = r.json().set(“newbike”, “$”, [“Deimos”, {“crashes”: 0}, None])
print(res11) # >>> True

res12 = r.json().get(“newbike”, “$”)
print(res12) # >>> [‘[“Deimos”, { “crashes”: 0 }, null]’]

res13 = r.json().get(“newbike”, “$[1].crashes”)
print(res13) # >>> [‘0’]

res14 = r.json().delete(“newbike”, “$.[-1]”)
print(res14) # >>> [1]

res15 = r.json().get(“newbike”, “$”)
print(res15) # >>> [[‘Deimos’, {‘crashes’: 0}]]

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WORK SEAMLESSLY IN YOUR STACK



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FIND WHAT YOU NEED TO GET STARTED

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REDIS AS AN IN-MEMORY DATA STRUCTURE STORE

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REDIS AS A DOCUMENT DATABASE

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REDIS AS A VECTOR DATABASE

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CHEAT SHEET


REDIS COMMANDS CHEAT SHEET

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TUTORIAL


PERFORM VECTOR SEARCH USING REDIS IN NODEJS

Learn how

See all resources


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OUR CLOUD CUSTOMERS BUILD APPS—FAST

See how Redis Cloud can improve the way you operate and scale.
99.999%Availability

75%75% less costly than managing relational DBs

350%ROI over three years

$1MEstimated savings from improved efficiency


--------------------------------------------------------------------------------


AND THEY TELL GOOD STORIES

CUSTOMER STORIES

FINANCE

Flowdesk implements Redis for real-time analytics, achieving 10x faster query
performance and 50% reduction in infrastructure costs.

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CUSTOMER STORIES

SOFTWARE

Docugami uses Redis to easily store, search, and update vector embeddings at
scale.

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CUSTOMER STORIES

SECURITY

Ekata uses Auto Tiering, which requires 70% less of the expensive DRAM storage
they needed before Redis.

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CUSTOMER STORIES

MOBILE GAMING

Redis allows Niantic to use less overhead to balance their server load and offer
great player experiences.

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CUSTOMER STORIES

RETAIL

Ulta implements Redis to enhance customer experience, achieving 50% reduction in
response time and scaling to handle more than 300,000 transactions per second.

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CUSTOMER STORIES

HOSPITALITY

iFood boosts performance and scalability with Redis, achieving a 50% reduction
in latency and a 3x increase in throughput for its food delivery platform.

Learn more
See all customer stories

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