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4.7-production (#1053)
* 4.7-alpha3 (#62) * doc * Optimize possible null Pointers and parts of Ux * fix: mulity index training error * feat: doc and rename question guide * fix ios speech input (#59) * fix: prompt editor variables nowrap (#61) * change openapi import in http module with curl import (#60) * chore(ui): dataset import modal ui (#58) * chore(ui): dataset import modal ui * use component * fix height * 4.7 (#63) * fix: claude3 image type verification failed (#1038) (#1040) * perf: curl import modal * doc img * perf: adapt cohere rerank * perf: code * perf: input style * doc --------- Co-authored-by: xiaotian <dimsky@163.com> * fix: ts * docker deploy * perf: prompt call * doc * ts * finish ui * perf: outlink detail ux * perf: user schema * fix: plugin update * feat: get current time plugin * fix: ts * perf: fetch anamation * perf: mark ux * doc * perf: select app ux * fix: split text custom string conflict * peref: inform readed * doc * memo flow component * perf: version * faq * feat: flow max runtimes * feat: similarity tip * feat: auto detect file encoding * Supports asymmetric vector model * fix: ts * perf: max w * move code * perf: hide whisper * fix: ts * feat: system msg modal * perf: catch error * perf: inform tip * fix: inform --------- Co-authored-by: heheer <71265218+newfish-cmyk@users.noreply.github.com> Co-authored-by: xiaotian <dimsky@163.com>
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@@ -9,7 +9,7 @@ weight: 828
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## docker 部署 - 手动更新 Mongo
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1. 修改 docker-compose.yml 的mongo部分，补上`command`和`mongodb.key`
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1. 修改 docker-compose.yml 的mongo部分，补上`command`和`entrypoint`
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```yml
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mongo:
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@@ -22,44 +22,51 @@ mongo:
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- fastgpt
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command: mongod --keyFile /data/mongodb.key --replSet rs0
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environment:
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# 这里密码不用变。
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- MONGO_INITDB_ROOT_USERNAME=myname
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- MONGO_INITDB_ROOT_PASSWORD=mypassword
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# 这里密码注意要和以前的一致
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- MONGO_INITDB_ROOT_USERNAME=username
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- MONGO_INITDB_ROOT_PASSWORD=password
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volumes:
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- ./mongo/data:/data/db
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- ./mongodb.key:/data/mongodb.key
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entrypoint:
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- bash
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- -c
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- |
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openssl rand -base64 128 > /data/mongodb.key
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chmod 400 /data/mongodb.key
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chown 999:999 /data/mongodb.key
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echo 'const isInited = rs.status().ok === 1
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if(!isInited){
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rs.initiate({
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_id: "rs0",
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members: [
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{ _id: 0, host: "mongo:27017" }
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]
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})
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}' > /data/initReplicaSet.js
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# 启动MongoDB服务
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exec docker-entrypoint.sh "$@" &
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# 等待MongoDB服务启动
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until mongo -u myusername -p mypassword --authenticationDatabase admin --eval "print('waited for connection')" > /dev/null 2>&1; do
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echo "Waiting for MongoDB to start..."
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sleep 2
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done
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# 执行初始化副本集的脚本
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mongo -u myusername -p mypassword --authenticationDatabase admin /data/initReplicaSet.js
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# 等待docker-entrypoint.sh脚本执行的MongoDB服务进程
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wait $!
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```
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2. 创建 mongo 密钥
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2. 重启 MongoDB
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```bash
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cd 项目目录
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# 创建 mongo 密钥
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openssl rand -base64 756 > ./mongodb.key
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# 600不行可以用chmod 999
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chmod 600 ./mongodb.key
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chown 999:root ./mongodb.key
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# 重启 Mongo
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docker-compose down
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docker-compose up -d
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```
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3. 进入容器初始化部分集合
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```bash
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docker exec -it mongo bash
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mongo -u myname -p mypassword --authenticationDatabase admin
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# 初始化副本集。如果需要外网访问，mongo:27017 可以改成 ip:27017。但是需要同时修改 FastGPT 连接的参数（MONGODB_URI=mongodb://myname:mypassword@mongo:27017/fastgpt?authSource=admin => MONGODB_URI=mongodb://myname:mypassword@ip:27017/fastgpt?authSource=admin）
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rs.initiate({
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_id: "rs0",
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members: [
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{ _id: 0, host: "mongo:27017" }
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]
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})
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# 检查状态。如果提示 rs0 状态，则代表运行成功
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rs.status()
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```
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## Sealos 部署 - 无需更新 Mongo
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## 修改配置文件
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@@ -24,6 +24,29 @@ curl --location --request POST 'https://{{host}}/api/admin/initv47' \
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脚本功能：
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1. 初始化插件的 parentId
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## 升级 ReRank 模型
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4.7对ReRank模型进行了格式变动，兼容 cohere 的格式，可以直接使用 cohere 提供的 API。如果是本地的 ReRank 模型，需要修改镜像为：`luanshaotong/reranker:v0.2` 。
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cohere的重排模型对中文不是很好，感觉不如 bge 的好用，接入教程如下：
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1. 申请 Cohere 官方 Key: https://dashboard.cohere.com/api-keys
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2. 修改 FastGPT 配置文件
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```json
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{
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"reRankModels": [
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{
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"model": "rerank-multilingual-v2.0", // 这里的 model 需要对应 cohere 的模型名
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"name": "检索重排", // 随意
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"requestUrl": "https://api.cohere.ai/v1/rerank",
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"requestAuth": "Coherer上申请的key"
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}
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]
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}
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```
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## V4.7 更新说明
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1. 新增 - 工具调用模块，可以让LLM模型根据用户意图，动态的选择其他模型或插件执行。
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@@ -37,3 +60,4 @@ curl --location --request POST 'https://{{host}}/api/admin/initv47' \
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9. 新增 - 支持 http url 使用变量。
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10. 修复 - 469 的提取的提示词容易造成幻觉。
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11. 修复 - PG HNSW索引未实际生效问题，本次更新后，搜索速度大幅度提升(但是可能会出现精度损失，如果出现精度损失需要参考PgVector文档，对索引进行调整)。详细见：https://github.com/pgvector/pgvector?tab=readme-ov-file#troubleshooting
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12. 新增 - Rerank 模型兼容 [cohere的格式](https://docs.cohere.com/reference/rerank-1)，可以直接使用 cohere 的 rerank 模型。
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