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        *   [Astra DB Chat Memory](/v0.1/docs/integrations/chat_memory/astradb/)
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        *   [Cloudflare D1-Backed Chat Memory](/v0.1/docs/integrations/chat_memory/cloudflare_d1/)
        *   [Convex Chat Memory](/v0.1/docs/integrations/chat_memory/convex/)
        *   [DynamoDB-Backed Chat Memory](/v0.1/docs/integrations/chat_memory/dynamodb/)
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*   [](/v0.1/)
*   [Components](/v0.1/docs/integrations/components/)
*   [Chat Memory](/v0.1/docs/integrations/chat_memory/)
*   Firestore Chat Memory

Firestore Chat Memory
=====================

For longer-term persistence across chat sessions, you can swap out the default in-memory `chatHistory` that backs chat memory classes like `BufferMemory` for a firestore.

Setup[​](#setup "Direct link to Setup")
---------------------------------------

First, install the Firebase admin package in your project:

*   npm
*   Yarn
*   pnpm

    npm install firebase-admin

    yarn add firebase-admin

    pnpm add firebase-admin

tip

See [this section for general instructions on installing integration packages](/v0.1/docs/get_started/installation/#installing-integration-packages).

*   npm
*   Yarn
*   pnpm

    npm install @langchain/openai @langchain/community

    yarn add @langchain/openai @langchain/community

    pnpm add @langchain/openai @langchain/community

Visit the `Project Settings` page from your Firebase project and select the `Service accounts` tab.

Inside the `Service accounts` tab, click the `Generate new private key` button inside the `Firebase Admin SDK` section to download a JSON file containing your service account's credentials.

Using the downloaded JSON file, pass in the `projectId`, `privateKey`, and `clientEmail` to the `config` object of the `FirestoreChatMessageHistory` class, like shown below:

    import { FirestoreChatMessageHistory } from "@langchain/community/stores/message/firestore";import admin from "firebase-admin";const messageHistory = new FirestoreChatMessageHistory({  collections: ["chats"],  docs: ["user-id"],  sessionId: "user-id",  userId: "a@example.com",  config: {    projectId: "YOUR-PROJECT-ID",    credential: admin.credential.cert({      projectId: "YOUR-PROJECT-ID",      privateKey:        "-----BEGIN PRIVATE KEY-----\nCHANGE-ME\n-----END PRIVATE KEY-----\n",      clientEmail: "CHANGE-ME@CHANGE-ME-TOO.iam.gserviceaccount.com",    }),  },});

Here, the `collections` field should match the names and ordering of the `collections` in your database. The same goes for `docs`, it should match the names and ordering of the `docs` in your database.

Usage[​](#usage "Direct link to Usage")
---------------------------------------

    import { BufferMemory } from "langchain/memory";import { FirestoreChatMessageHistory } from "@langchain/community/stores/message/firestore";import { ChatOpenAI } from "@langchain/openai";import { ConversationChain } from "langchain/chains";import admin from "firebase-admin";const memory = new BufferMemory({  chatHistory: new FirestoreChatMessageHistory({    collections: ["langchain"],    docs: ["lc-example"],    sessionId: "lc-example-id",    userId: "a@example.com",    config: {      projectId: "YOUR-PROJECT-ID",      credential: admin.credential.cert({        projectId: "YOUR-PROJECT-ID",        privateKey:          "-----BEGIN PRIVATE KEY-----\nnCHANGE-ME\n-----END PRIVATE KEY-----\n",        clientEmail: "CHANGE-ME@CHANGE-ME-TOO.iam.gserviceaccount.com",      }),    },  }),});const model = new ChatOpenAI();const chain = new ConversationChain({ llm: model, memory });const res1 = await chain.invoke({ input: "Hi! I'm Jim." });console.log({ res1 });/*{ res1: { text: "Hello Jim! It's nice to meet you. My name is AI. How may I assist you today?" } }*/const res2 = await chain.invoke({ input: "What did I just say my name was?" });console.log({ res2 });/*{ res1: { text: "You said your name was Jim." } }*/

#### API Reference:

*   [BufferMemory](https://api.js.langchain.com/classes/langchain_memory.BufferMemory.html) from `langchain/memory`
*   [FirestoreChatMessageHistory](https://api.js.langchain.com/classes/langchain_community_stores_message_firestore.FirestoreChatMessageHistory.html) from `@langchain/community/stores/message/firestore`
*   [ChatOpenAI](https://api.js.langchain.com/classes/langchain_openai.ChatOpenAI.html) from `@langchain/openai`
*   [ConversationChain](https://api.js.langchain.com/classes/langchain_chains.ConversationChain.html) from `langchain/chains`

### Nested Collections[​](#nested-collections "Direct link to Nested Collections")

The `FirestoreChatMessageHistory` class supports nested collections, and dynamic collection/doc names.

The example below shows how to add and retrieve messages from a database with the following structure:

    /chats/{chat-id}/bots/{bot-id}/messages/{message-id}

    import { BufferMemory } from "langchain/memory";import { FirestoreChatMessageHistory } from "@langchain/community/stores/message/firestore";import { ChatOpenAI } from "@langchain/openai";import { ConversationChain } from "langchain/chains";import admin from "firebase-admin";const memory = new BufferMemory({  chatHistory: new FirestoreChatMessageHistory({    collections: ["chats", "bots"],    docs: ["chat-id", "bot-id"],    sessionId: "user-id",    userId: "a@example.com",    config: {      projectId: "YOUR-PROJECT-ID",      credential: admin.credential.cert({        projectId: "YOUR-PROJECT-ID",        privateKey:          "-----BEGIN PRIVATE KEY-----\nnCHANGE-ME\n-----END PRIVATE KEY-----\n",        clientEmail: "CHANGE-ME@CHANGE-ME-TOO.iam.gserviceaccount.com",      }),    },  }),});const model = new ChatOpenAI();const chain = new ConversationChain({ llm: model, memory });const res1 = await chain.invoke({ input: "Hi! I'm Jim." });console.log({ res1 });/*{ res1: { response: 'Hello Jim! How can I assist you today?' } }*/const res2 = await chain.invoke({ input: "What did I just say my name was?" });console.log({ res2 });/*{ res2: { response: 'You just said that your name is Jim.' } }*/

#### API Reference:

*   [BufferMemory](https://api.js.langchain.com/classes/langchain_memory.BufferMemory.html) from `langchain/memory`
*   [FirestoreChatMessageHistory](https://api.js.langchain.com/classes/langchain_community_stores_message_firestore.FirestoreChatMessageHistory.html) from `@langchain/community/stores/message/firestore`
*   [ChatOpenAI](https://api.js.langchain.com/classes/langchain_openai.ChatOpenAI.html) from `@langchain/openai`
*   [ConversationChain](https://api.js.langchain.com/classes/langchain_chains.ConversationChain.html) from `langchain/chains`

Firestore Rules[​](#firestore-rules "Direct link to Firestore Rules")
---------------------------------------------------------------------

If your collection name is "chathistory," you can configure Firestore rules as follows.

          match /chathistory/{sessionId} {       allow read: if request.auth.uid == resource.data.createdBy;       allow write: if request.auth.uid == request.resource.data.createdBy;             }             match /chathistory/{sessionId}/messages/{messageId} {       allow read: if request.auth.uid == resource.data.createdBy;       allow write: if request.auth.uid == request.resource.data.createdBy;            }

* * *

#### Help us out by providing feedback on this documentation page:

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