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Back
   
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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.

# Create a new session and store it as a JSON document
> JSON.SET session:12345 . ‘{“user_id”: 1001, “login_time”:
“2024-02-27T10:00:00Z”, “data”: {“last_page_visited”: “/home”, “preferences”:
{“theme”: “dark”}}}’
“OK”

# Fetch the entire session
> JSON.GET session:12345
“{\”user_id\”:1001,\”login_time\”:\”2024-02-27T10:00:00Z\”,\”data\”:{\”last_page_visited\”:\”/home\”,\”preferences\”:{\”theme\”:\”dark\”}}}”

# Fetch a specific part of the session
> JSON.GET session:12345 .data.preferences
“{\”theme\”:\”dark\”}”

# Update a field within the session
> JSON.SET session:12345 .data.last_page_visited ‘”/settings”‘
“OK”

# Delete a field within the session
> JSON.DEL session:12345 .data.preferences
(integer) 1

# Delete a session
> DEL session:12345
(integer) 1
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 on “users:*”
> FT.CREATE user-idx ON JSON PREFIX 1 users: SCHEMA $.user.name AS name TEXT
$.user.hobbies AS hobbies TAG $.user.age as age NUMERIC
“OK”

# Add a JSON document to be indexed
> JSON.SET users:1 $ ‘{“user”:{“name”:”John
Smith”,”hobbies”:[“sports”,”computers”],”age”:23}}’
“OK”

# Search all user documents with name “John”
> FT.SEARCH user-idx ‘@name:(John)’
1) “1”
2) “users:1”
3) 1) “$”
2) “{\”user\”:{\”name\”:\”John
Smith\”,\”hobbies\”:[\”sports\”,\”computers\”],\”age\”:23}}”

# Search for users named “John” with hobbies “sports” or “writing” and age
between 20 and 30
> FT.SEARCH user-idx ‘@name:(John) @hobbies:{sports | writing} @age:[20 30]’
1) “1”
2) “users:1”

3) 1) “$” 2) “{\”user\”:{\”name\”:\”John
Smith\”,\”hobbies\”:[\”sports\”,\”computers\”],\”age\”:23}}”
Learn more
# Create a new session and store it as a JSON document
> JSON.SET session:12345 . ‘{“user_id”: 1001, “login_time”:
“2024-02-27T10:00:00Z”, “data”: {“last_page_visited”: “/home”, “preferences”:
{“theme”: “dark”}}}’
“OK”

# Fetch the entire session
> JSON.GET session:12345
“{\”user_id\”:1001,\”login_time\”:\”2024-02-27T10:00:00Z\”,\”data\”:{\”last_page_visited\”:\”/home\”,\”preferences\”:{\”theme\”:\”dark\”}}}”

# Fetch a specific part of the session
> JSON.GET session:12345 .data.preferences
“{\”theme\”:\”dark\”}”

# Update a field within the session
> JSON.SET session:12345 .data.last_page_visited ‘”/settings”‘
“OK”

# Delete a field within the session
> JSON.DEL session:12345 .data.preferences
(integer) 1

# Delete a session
> DEL session:12345
(integer) 1

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


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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QUICK START


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.

Learn more

CUSTOMER STORIES

SOFTWARE

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

Learn more

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.

Learn more

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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