DeepSeek Chat Model and Redis integration

Save yourself the work of writing custom integrations for DeepSeek Chat Model and Redis and use n8n instead. Build adaptable and scalable AI, workflows that work with your technology stack. All within a building experience you will love.

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How to connect DeepSeek Chat Model and Redis

Create a new workflow and add the first step

In n8n, click the "Add workflow" button in the Workflows tab to create a new workflow. Add the starting point – a trigger on when your workflow should run: an app event, a schedule, a webhook call, another workflow, an AI chat, or a manual trigger. Sometimes, the HTTP Request node might already serve as your starting point.

Build your own DeepSeek Chat Model and Redis integration

Create custom DeepSeek Chat Model and Redis workflows by choosing triggers and actions. Nodes come with global operations and settings, as well as app-specific parameters that can be configured. You can also use the HTTP Request node to query data from any app or service with a REST API.

Redis supported actions

Delete

Delete a key from Redis

Get

Get the value of a key from Redis

Increment

Atomically increments a key by 1. Creates the key if it does not exist.

Info

Returns generic information about the Redis instance

Keys

Returns all the keys matching a pattern

Pop

Pop data from a redis list

Publish

Publish message to redis channel

Push

Push data to a redis list

Set

Set the value of a key in redis

DeepSeek Chat Model and Redis integration details

DeepSeek Chat Model

DeepSeek Chat Model node docs + examples

DeepSeek Chat Model credential docs

See DeepSeek Chat Model integrations

Related categories

Redis

Redis is an open-source, advanced key-value store. It is often referred to as a data structure server. Its high performance makes it a favorite fast data store, cache, and even lightweight message broker.

Redis node docs + examples

Redis credential docs

See Redis integrations

Related categories

Development Data & Storage

Other integrations with Redis

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