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*   [](/v0.1/)
*   [Components](/v0.1/docs/integrations/components/)
*   [Chat Memory](/v0.1/docs/integrations/chat_memory/)
*   Convex Chat Memory

Convex 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 [Convex](https://convex.dev/).

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

### Create project[​](#create-project "Direct link to Create project")

Get a working [Convex](https://docs.convex.dev/) project set up, for example by using:

    npm create convex@latest

### Add database accessors[​](#add-database-accessors "Direct link to Add database accessors")

Add query and mutation helpers to `convex/langchain/db.ts`:

convex/langchain/db.ts

    export * from "langchain/util/convex";

### Configure your schema[​](#configure-your-schema "Direct link to Configure your schema")

Set up your schema (for indexing):

convex/schema.ts

    import { defineSchema, defineTable } from "convex/server";import { v } from "convex/values";export default defineSchema({  messages: defineTable({    sessionId: v.string(),    message: v.object({      type: v.string(),      data: v.object({        content: v.string(),        role: v.optional(v.string()),        name: v.optional(v.string()),        additional_kwargs: v.optional(v.any()),      }),    }),  }).index("bySessionId", ["sessionId"]),});

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

Each chat history session stored in Convex must have a unique session id.

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

convex/myActions.ts

    "use node";import { v } from "convex/values";import { BufferMemory } from "langchain/memory";import { ChatOpenAI } from "@langchain/openai";import { ConversationChain } from "langchain/chains";import { ConvexChatMessageHistory } from "@langchain/community/stores/message/convex";import { action } from "./_generated/server.js";export const ask = action({  args: { sessionId: v.string() },  handler: async (ctx, args) => {    // pass in a sessionId string    const { sessionId } = args;    const memory = new BufferMemory({      chatHistory: new ConvexChatMessageHistory({ sessionId, ctx }),    });    const model = new ChatOpenAI({      model: "gpt-3.5-turbo",      temperature: 0,    });    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 });    /*      {        res2: {          text: "You said your name was Jim."        }      }    */    // See the chat history in the Convex database    console.log(await memory.chatHistory.getMessages());    // clear chat history    await memory.chatHistory.clear();  },});

#### API Reference:

*   [BufferMemory](https://api.js.langchain.com/classes/langchain_memory.BufferMemory.html) from `langchain/memory`
*   [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`
*   [ConvexChatMessageHistory](https://api.js.langchain.com/classes/langchain_community_stores_message_convex.ConvexChatMessageHistory.html) from `@langchain/community/stores/message/convex`

* * *

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