langflow/docs/versioned_docs/version-1.10.0/Components/bundles-cassandra.mdx

---
title: Cassandra
slug: /bundles-cassandra
---

import Icon from "@site/src/components/icon";
import PartialParams from '@site/docs/_partial-hidden-params.mdx';
import PartialConditionalParams from '@site/docs/_partial-conditional-params.mdx';
import PartialVectorSearchResults from '@site/docs/_partial-vector-search-results.mdx';
import PartialVectorStoreInstance from '@site/docs/_partial-vector-store-instance.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 **Cassandra** bundle, including components that read and write to Apache Cassandra clusters, such as OSS Cassandra and Astra DB databases.

## Cassandra vector store

Use the **Cassandra** component to read or write to a Cassandra-based vector store using a `CassandraVectorStore` instance.

<details>
<summary>About vector store instances</summary>

<PartialVectorStoreInstance />

</details>

<PartialVectorSearchResults />

:::tip
For a tutorial using a vector database in a flow, see [Create a vector RAG chatbot](/chat-with-rag).
:::

### Cassandra 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 />

<PartialConditionalParams />

For information about accepted values and functionality, see [Vector search in Cassandra](https://cassandra.apache.org/doc/latest/cassandra/vector-search/overview.html) or inspect [component code](/concepts-components#component-code).

| Name | Type | Description |
|------|------|-------------|
| database_ref | String | Input parameter. Contact points for the database or an Astra database ID. |
| username | String | Input parameter. Username for the database. Leave empty for Astra DB. |
| token | SecretString | Input parameter. User password for the database or an Astra application token. |
| keyspace | String | Input parameter. The name of the keyspace containing the vector store specified in **Table Name** (`table_name`). |
| table_name | String | Input parameter. The name of the table or collection that is the vector store. |
| ttl_seconds | Integer | Input parameter. Time-to-live for added texts, if supported by the cluster. Only relevant for writes. |
| batch_size | Integer | Input parameter. Amount of records to process in a single batch. |
| setup_mode | String | Input parameter. Configuration mode for setting up a Cassandra table. |
| cluster_kwargs | Dict | Input parameter. Additional keyword arguments for a Cassandra cluster. |
| search_query | String | Input parameter. Query string for similarity search. Only relevant for reads. |
| ingest_data | JSON | Input parameter. Data to be loaded into the vector store as raw chunks and embeddings. Only relevant for writes. |
| embedding | Embeddings | Input parameter. Embedding function to use. |
| number_of_results | Integer | Input parameter. Number of results to return in search. Only relevant for reads. |
| search_type | String | Input parameter. Type of search to perform. Only relevant for reads. |
| search_score_threshold | Float | Input parameter. Minimum similarity score for search results. Only relevant for reads. |
| search_filter | Dict | Input parameter. An optional dictionary of metadata search filters to apply in addition to vector search. Only relevant for reads. |
| body_search | String | Input parameter. Document textual search terms. Only relevant for reads. |
| enable_body_search | Boolean | Input parameter. Flag to enable body search. Only relevant for reads. |

## Cassandra Chat Memory

The **Cassandra Chat Memory** component retrieves and stores chat messages using an Apache Cassandra-based database.

Chat memories are passed between memory storage components as the [`Memory`](/data-types#memory) data type.
Specifically, the component creates an instance of `CassandraChatMessageHistory`, which is a LangChain chat message history class that uses a Cassandra database for storage.

For more information about using external chat memory in flows, see the [**Message History** component](/message-history).

### Cassandra Chat Memory parameters

<PartialParams />

| Name           | Type          | Description   |
|----------------|---------------|-----------------------------|
| database_ref   | MessageText   | Input parameter. The contact points for the Cassandra database or Astra DB database ID. Required. |
| username       | MessageText   | Input parameter. The username for Cassandra. Leave empty for Astra DB. |
| token          | SecretString  | Input parameter. The password for Cassandra or the token for Astra DB. Required. |
| keyspace       | MessageText   | Input parameter. The keyspace in Cassandra or namespace in Astra DB. Required. |
| table_name     | MessageText   | Input parameter. The name of the table or collection for storing messages. Required. |
| session_id     | MessageText   | Input parameter. The unique identifier for the chat session. Optional. |
| cluster_kwargs | Dictionary    | Input parameter. Additional keyword arguments for the Cassandra cluster configuration. Optional. |

## Cassandra Graph

The **Cassandra Graph** component uses `CassandraGraphVectorStore`, an instance of [LangChain graph vector store](https://python.langchain.com/api_reference/community/graph_vectorstores.html), for graph traversal and graph-based document retrieval in a compatible Cassandra-based cluster.
It also supports writing to the vector store.

<PartialVectorSearchResults />

### Cassandra Graph parameters

<PartialParams />

| Name | Display Name | Info |
|------|--------------|------|
| database_ref | Contact Points / Astra Database ID | Input parameter. The contact points for the database or an Astra database ID. Required. |
| username | Username | Input parameter. The username for the database. Leave empty for Astra DB. |
| token | Password / Astra DB Token | Input parameter. The user password for the database or an Astra application token. Required. |
| keyspace | Keyspace | Input parameter. The name of the keyspace containing the vector store specified in **Table Name** (`table_name`). Required. |
| table_name | Table Name | Input parameter. The name of the table or collection that is the vector store. Required. |
| setup_mode | Setup Mode | Input parameter. The configuration mode for setting up the Cassandra table. The options are `Sync` (default) or `Off`. |
| cluster_kwargs | Cluster arguments | Input parameter. An optional dictionary of additional keyword arguments for the Cassandra cluster. |
| search_query | Search Query | Input parameter. The query string for similarity search. Only relevant for reads. |
| ingest_data | Ingest Data | Input parameter. Data to be loaded into the vector store as raw chunks and embeddings. Only relevant for writes. |
| embedding | Embedding | Input parameter. The embedding model to use. |
| number_of_results | Number of Results | Input parameter. The number of results to return in similarity search. Only relevant for reads. Default: 4. |
| search_type | Search Type | Input parameter. The search type to use. The options are `Traversal` (default), `MMR Traversal`, `Similarity`, `Similarity with score threshold`, or `MMR (Max Marginal Relevance)`. |
| depth | Depth of traversal | Input parameter. The maximum depth of edges to traverse. Only relevant if **Search Type** (`search_type`) is `Traversal` or `MMR Traversal`. Default: 1. |
| search_score_threshold | Search Score Threshold | Input parameter. The minimum similarity score threshold for search results. Only relevant for reads using the `Similarity with score threshold` search type. |
| search_filter | Search Metadata Filter | Input parameter. An optional dictionary of metadata search filters to apply in addition to graph traversal and similarity search. |

### See also

* [**DataStax** bundle](/bundles-datastax)