flowise low code 的 RAG系統

自上篇LlamaIndex 自訂義RAG 系統
如果覺得寫程式更改很麻煩，flowise這個開源專案很好的結合了工作流 跟low code應用

官方部屬文件

github

https://github.com/FlowiseAI/Flowise

docs

https://docs.flowiseai.com/

部屬方法

1. clone public repo

   git clone https://github.com/FlowiseAI/Flowise.git

2. 安裝docker 及 docker compose
   這部分可參考官方說明https://docs.docker.com/engine/install/

3. cd docker and copy .env.template

   cd docker &&
   cp .env.example .env

4. 更改.env
   主要要更改的部分有

   • FILE_SIZE_LIMIT: 避免embedding pdf 檔案過大
   • USERNAME / PASSWORD
   • CORS相關設定，若要嵌入至其他網頁時若沒有設定會被擋
   • DATABASE 如果有要做連接資料須寫在這邊

   PORT=4000
   DATABASE_PATH=/root/.flowise
   APIKEY_PATH=/root/.flowise
   SECRETKEY_PATH=/root/.flowise
   LOG_PATH=/root/.flowise/logs
   BLOB_STORAGE_PATH=/root/.flowise/storage
   
   CORS_ORIGINS="*"
   IFRAME_ORIGINS="*"
   EMBEDDING_ORIGINS="*"
   
   # NUMBER_OF_PROXIES= 1
   
   # DATABASE_TYPE=postgres
   # DATABASE_PORT=""
   # DATABASE_HOST=""
   # DATABASE_NAME="flowise"
   # DATABASE_USER=""
   # DATABASE_PASSWORD=""
   # DATABASE_SSL=true
   # DATABASE_SSL_KEY_BASE64=<Self signed certificate in BASE64>
   
   FLOWISE_USERNAME=it
   FLOWISE_PASSWORD=itit
   # FLOWISE_SECRETKEY_OVERWRITE=myencryptionkey
   FLOWISE_FILE_SIZE_LIMIT=200mb
   # DEBUG=true
   # LOG_LEVEL=debug (error | warn | info | verbose | debug)
   # TOOL_FUNCTION_BUILTIN_DEP=crypto,fs
   # TOOL_FUNCTION_EXTERNAL_DEP=moment,lodash
   
   # LANGCHAIN_TRACING_V2=true
   # LANGCHAIN_ENDPOINT=https://api.smith.langchain.com
   # LANGCHAIN_API_KEY=your_api_key
   # LANGCHAIN_PROJECT=your_project
   
   # DISABLE_FLOWISE_TELEMETRY=true

5. 起docker compose

   docker compose up -d

   起來之後就會在設定的 port