---
title: V4.6.8 (Initialization Required)
description: FastGPT V4.6.8 Release Notes
---

## Docker Deployment - Manually Update MongoDB

1. Modify the mongo section in docker-compose.yml by adding the `command` and `entrypoint` fields:

```yml
mongo:
  image: mongo:5.0.18
  # image: registry.cn-hangzhou.aliyuncs.com/fastgpt/mongo:5.0.18 # Alibaba Cloud
  container_name: mongo
  ports:
    - 27017:27017
  networks:
    - fastgpt
  command: mongod --keyFile /data/mongodb.key --replSet rs0
  environment:
    # Make sure the password matches your previous configuration
    - MONGO_INITDB_ROOT_USERNAME=username
    - MONGO_INITDB_ROOT_PASSWORD=password
  volumes:
    - ./mongo/data:/data/db
  entrypoint:
    - bash
    - -c
    - |
      openssl rand -base64 128 > /data/mongodb.key
      chmod 400 /data/mongodb.key
      chown 999:999 /data/mongodb.key
      echo 'const isInited = rs.status().ok === 1
      if(!isInited){
        rs.initiate({
            _id: "rs0",
            members: [
                { _id: 0, host: "mongo:27017" }
            ]
        })
      }' > /data/initReplicaSet.js
      # Start MongoDB service
      exec docker-entrypoint.sh "$@" &

      # Wait for MongoDB to start
      until mongo -u myusername -p mypassword --authenticationDatabase admin --eval "print('waited for connection')" > /dev/null 2>&1; do
        echo "Waiting for MongoDB to start..."
        sleep 2
      done

      # Run the replica set initialization script
      mongo -u myusername -p mypassword --authenticationDatabase admin /data/initReplicaSet.js

      # Wait for the MongoDB process started by docker-entrypoint.sh
      wait $!
```

2. Restart MongoDB

```bash
# Restart Mongo
docker-compose down
docker-compose up -d
```

## Sealos Deployment - No MongoDB Update Required

## Update Configuration File

Removed duplicate model configurations. All LLM models are now consolidated into a single property. [View the latest configuration file](/docs/self-host/config/json/)

## Commercial Edition Initialization

Commercial edition users need to run an initialization to format team information.

Send 1 HTTP request (replace `{{rootkey}}` with the `rootkey` from your environment variables, and `{{host}}` with your commercial edition domain):

```bash
curl --location --request POST 'https://{{host}}/api/init/v468' \
--header 'rootkey: {{rootkey}}' \
--header 'Content-Type: application/json'
```

This will initialize the billing system. For internal use, you can increase the free storage quota.

## V4.6.8 Release Notes

1. New - Knowledge Base search merge module.
2. New - Redesigned HTTP module with more flexible parameter input. Supports automatic input/output data type conversion (e.g., JSON output is automatically converted to string type for use by other modules). Additional examples are available in the documentation.
3. Improved - Query completion. Query completion is now built into the Knowledge Base Search module, enabling both "reference resolution" and "query expansion" in a single pass. See [Knowledge Base Search Introduction](/docs/introduction/guide/dashboard/workflow/dataset_search/) for details.
4. Improved - LLM model configuration no longer distinguishes between chat, classification, and extraction models. Default parameters per model are now supported via `defaultConfig` to avoid parameter conflicts between different models.
5. Improved - Streaming response, inspired by `ChatNextWeb`'s streaming implementation for smoother output. This may also fix previously reported issues with garbled text and interruptions that resolved after refreshing.
6. Fixed - Voice input file upload failure.
7. Fixed - Chat box regeneration not working.