Autocomplete with Redis
Learn how to use the autocomplete feature of Redis for efficient prefix-based suggestion retrieval.
Overview
Redis Query Engine provides an autocomplete feature using suggestions that are stored in a trie-based data structure. This feature allows you to store and retrieve ranked suggestions based on user input prefixes, making it useful for applications like search boxes, command completion, and chatbot responses.
This guide covers how to use the FT.SUGADD
, FT.SUGGET
, FT.SUGDEL
, and FT.SUGLEN
commands to implement autocomplete, and some examples of how you can use these commands with FT.SEARCH
.
Add autocomplete suggestions
To add phrases or words to a suggestions dictionary, use the FT.SUGADD
command.
You will assign a score to each entry, which determines its ranking in the results.
FT.SUGADD autocomplete "hello world" 100
FT.SUGADD autocomplete "hello there" 90
FT.SUGADD autocomplete "help me" 80
FT.SUGADD autocomplete "hero" 70
Integer scores were used in the above examples, but the scores argument is described as being floating point.
Integer scores are converted to floating point internally.
Also, "autocomplete
" in the above examples is just the name of the key; you can use any key name you wish.
Optional arguments
The FT.SUGADD
command can take two optional arguments:
INCR
: increments the existing entry of the suggestion by the given score instead of replacing the score. This is useful for updating the dictionary based on user queries in real time.PAYLOAD
: saves a string with the suggestion, which can be fetched by adding theWITHPAYLOADS
argument toFT.SUGGET
.
Retrieve suggestions
To get autocomplete suggestions for a given prefix, use the FT.SUGGET
command.
redis> FT.SUGGET autocomplete "he"
1) "hero"
2) "help me"
3) "hello world"
4) "hello there"
If you wish to see the scores, use the WITHSCORES
option:
redis> FT.SUGGET autocomplete "he" WITHSCORES
1) "hero"
2) "40.414520263671875"
3) "help me"
4) "32.65986251831055"
5) "hello world"
6) "31.62277603149414"
7) "hello there"
8) "28.460498809814453"
Enable fuzzy matching
If you want to allow for small spelling mistakes or typos, use the FUZZY
option. This option performs a fuzzy prefix search, including prefixes at a Levenshtein distance of 1 from the provided prefix.
redis> FT.SUGGET autocomplete hell FUZZY
1) "hello world"
2) "hello there"
3) "help me"
Optional arguments
There are three additional arguments you can use wit FT.SUGGET
:
MAX num
: limits the results to a maximum ofnum
. The default forMAX
is 5.WITHSCORES
: returns the score of each suggestion.WITHPAYLOADS
: returns optional payloads saved with the suggestions. If no payload is present for an entry, anil
reply is returned.redis> FT.SUGADD autocomplete hero 70 PAYLOAD "you're no hero" (integer) 4 redis> FT.SUGGET autocomplete "hr" FUZZY WITHPAYLOADS 1) "hero" 2) "you're no hero" 3) "help me" 4) (nil) 5) "hello world" 6) (nil) 7) "hello there" 8) (nil)
Delete suggestions
To remove a specific suggestion from the dictionary, use the FT.SUGDEL
command.
redis> FT.SUGDEL autocomplete "help me"
(integer 1)
After deletion, running FT.SUGGET autocomplete hell FUZZY
will no longer return "help me".
Check the number of suggestions
To get a count of the number of entries in a given suggestions dictionary, use the FT.SUGLEN
command.
redis> FT.SUGLEN autocomplete
(integer) 3
Use autocomplete with search
A common approach is to:
- Use FT.SUGGET to suggest query completions as users type in a text field.
- Once the user selects a suggestion, run FT.SEARCH using the selected term to get full search results.
Example workflow
-
Get suggestions for a given user input.
FT.SUGGET autocomplete "hel"
-
Capture the user's selection.
-
Use the selected suggestion in a full-text search.
FT.SEARCH index "hello world"
When to use autocomplete versus full-text search
- Use
FT.SUGGET
when you need fast, real-time prefix-based suggestion retrieval. - Use
FT.SEARCH
when you need document retrieval, filtering, and ranking based on relevance.
Autocomplete use cases
The autocomplete feature in Redis Query Engine is useful for:
- Search box suggestions: providing live suggestions as users type.
- Command completion: offering autocompletion for CLI tools.
- Product search: suggesting product names in e-commerce applications.
- Chatbot responses: recommending common phrases dynamically.