mirror of
https://github.com/langflow-ai/langflow.git
synced 2026-07-25 04:10:28 +08:00
b36444f5d9
* fix: nightly now properly gets 1.9.0 branch (#12215) before it was attempting to pull release-notes as letters are alphanumerically after numbers when we sort -V then grab tail now we only look at branch names that follow the pattern '^release-[0-9]+\.[0-9]+\.[0-9]+$' * docs: add search icon (#12216) add-back-svg * initial-content * cut-1.8-release-and-include-next-version * stage-1.8.0-and-next --------- Co-authored-by: Adam-Aghili <149833988+Adam-Aghili@users.noreply.github.com>
77 lines
3.4 KiB
Plaintext
77 lines
3.4 KiB
Plaintext
---
|
|
title: Redis
|
|
slug: /bundles-redis
|
|
---
|
|
|
|
import Icon from "@site/src/components/icon";
|
|
import PartialParams from '@site/docs/_partial-hidden-params.mdx';
|
|
|
|
<Icon name="Blocks" aria-hidden="true" /> [**Bundles**](/components-bundle-components) contain custom components that support specific third-party integrations with Langflow.
|
|
|
|
This page describes the components that are available in the **Redis** bundle.
|
|
|
|
## Redis Chat Memory
|
|
|
|
The **Redis Chat Memory** component retrieves and stores chat messages using Redis memory storage.
|
|
|
|
Chat memories are passed between memory storage components as the [`Memory`](/data-types#memory) data type.
|
|
|
|
For more information about using external chat memory in flows, see the [**Message History** component](/message-history).
|
|
|
|
### Redis Chat Memory parameters
|
|
|
|
<PartialParams />
|
|
|
|
| Name | Display Name | Info |
|
|
|------|--------------|------|
|
|
| host | hostname | Input parameter. The IP address or hostname. |
|
|
| port | port | Input parameter. The Redis Port Number. |
|
|
| database | database | Input parameter. The Redis database. |
|
|
| username | Username | Input parameter. The Redis username. |
|
|
| password | Password | Input parameter. The password for the username. |
|
|
| key_prefix | Key prefix | Input parameter. The key prefix. |
|
|
| session_id | Session ID | Input parameter. The unique session identifier for the message. |
|
|
|
|
## Redis vector store
|
|
|
|
The **Redis** vector store component reads and writes to Redis vector stores using an instance of [`RedisVectorStore`](https://python.langchain.com/docs/integrations/vectorstores/redis/).
|
|
|
|
<details>
|
|
<summary>About vector store instances</summary>
|
|
|
|
import PartialVectorStoreInstance from '@site/docs/_partial-vector-store-instance.mdx';
|
|
|
|
<PartialVectorStoreInstance />
|
|
|
|
</details>
|
|
|
|
import PartialVectorSearchResults from '@site/docs/_partial-vector-search-results.mdx';
|
|
|
|
<PartialVectorSearchResults />
|
|
|
|
:::tip
|
|
For a tutorial using a vector database in a flow, see [Create a vector RAG chatbot](/chat-with-rag).
|
|
:::
|
|
|
|
### Redis vector store parameters
|
|
|
|
You can inspect a vector store component's parameters to learn more about the inputs it accepts, the features it supports, and how to configure it.
|
|
|
|
<PartialParams />
|
|
|
|
import PartialConditionalParams from '@site/docs/_partial-conditional-params.mdx';
|
|
|
|
<PartialConditionalParams />
|
|
|
|
For information about accepted values and functionality, see the [Redis documentation](https://redis.io/docs/latest/develop/interact/search-and-query/advanced-concepts/vectors/) or inspect [component code](/concepts-components#component-code).
|
|
|
|
| Name | Type | Description |
|
|
| ----------------- | ------------ | ----------------------------------------- |
|
|
| redis_server_url | SecretString | Input parameter. The Redis server connection string. |
|
|
| redis_index_name | String | Input parameter. The name of the Redis index. |
|
|
| code | String | Input parameter. Additional custom code for Redis, if supported. |
|
|
| schema | String | Input parameter. The schema for Redis index. |
|
|
| ingest_data | Data | Input parameter. The data to be ingested into the vector store. |
|
|
| search_query | String | Input parameter. The query for similarity search. |
|
|
| embedding | Embeddings | Input parameter. The embedding function to use. |
|
|
| number_of_results | Integer | Input parameter. The number of results to return in search. | |