docs: AstraDB as Chat Memory (#4815)

* chat memory

update in Astra as chat memory

* updated image

* docs: update chat memory documentation for external database integration and clarify session ID usage

* capitalization

* Apply suggestions from code review

Co-authored-by: KimberlyFields <46325568+KimberlyFields@users.noreply.github.com>

---------

Co-authored-by: Mendon Kissling <59585235+mendonk@users.noreply.github.com>
Co-authored-by: KimberlyFields <46325568+KimberlyFields@users.noreply.github.com>

docs/docs/Guides/guides-chat-memory.md

@@ -51,3 +51,43 @@ You can also display all messages stored across every flow and session by going
 
 ![](/img/settings-messages.png)
 
+
+
+## Store chat memory in an external database
+
+Chat memory is retrieved from an external database or vector store using the [**Chat Memory**](/components-helpers#chat-memory) component.
+
+Chat memory is stored to an external database or vector store using the [Store Message](/components-helpers#store-message) component.
+
+The [**Chat Memories**](/Components/components-memories) components provide access to their respective external databases **as memory**. This allows AIs to access external memory for persistence and context retention. For example, connect the **Chat Memory** component to an **AstraDBChatMemory*** component to store the message history in an external Astra DB database.
+
+This example stores and retrieves chat history from an [AstraDBChatMemory](/Components/components-memories#astradbchatmemory-component) component with **Store Message** and **Chat Memory** components.
+
+### Prerequisites
+
+* [An OpenAI API key](https://platform.openai.com/)
+* [An Astra DB vector database](https://docs.datastax.com/en/astra-db-serverless/get-started/quickstart.html) with:
+	* Application Token
+	* API Endpoint
+
+### Connect the chat memory component to an external database
+
+1. Load the [Memory Chatbot](/starter-projects-memory-chatbot) starter project.
+This starter project extends the basic prompting flow to include a chat memory component.
+2. Add the [Store Message](/components-helpers#store-message) component to the flow.
+The **Store message** component stores messages in the external database.
+3. Add the [AstraDBChatMemory Component](/Components/components-memories#astradbchatmemory-component) to the flow.
+The **Astra DB Chat Memory** component stores and retrieves messages from **Astra DB**.
+4. Configure the **AstraDBChatMemory** component with your AstraDB instance details.
+	1. In the **Astra DB Application Token** field, add your Astra token. (`AstraCS:...`)
+	2. In the **API Endpoint** field, add your Astra database's endpoint. (for example, `https://12adb-bc-5378c845f05a6-e0a12-bd889b4-us-east-2.apps.astra.datastax.com`)
+5. Connect the **AstraDBChatMemory** component output to the external memory inputs of the [Chat Memory](/components-helpers#chat-memory) and [Store Message](/components-helpers#store-message) components.
+6. Link the [Chat Output](/components-io#chat-output) component to the input of the [Store Message](/components-helpers#store-message) component.
+
+Your completed flow should look like this:
+
+![Sample Flow storing Chat Memory in AstraDB](/img/astra_db_chat_memory_rounded.png)
+
+7. In Langflow, create message traffic by running a flow.
+8. Inspect your Astra database's tables and activity.
+You will see new tables and traffic created.

docs/docs/Starter-Projects/starter-projects-memory-chatbot.md

@@ -49,7 +49,7 @@ Check and adjust advanced parameters by opening the Advanced Settings of the **
 
 
 
-## Use Session ID in with the memory chatbot flow {#4e68c3c0750942f98c45c1c45d7ffbbe}
+## Use Session ID with the memory chatbot flow {#4e68c3c0750942f98c45c1c45d7ffbbe}
 
 
 ---