$ git clone https://github.com/adithya-s-k/RAG-SaaS.git && cd RAG-SaaS

$ cp -pi frontend/.env.example frontend/.env

NEXT_PUBLIC_SERVER_URL=http://localhost:8000
NEXT_PUBLIC_CHAT_API=${NEXT_PUBLIC_SERVER_URL}/api/chat

$ cp -pi backend/.env.example backend/.env

MODEL_PROVIDER=openai
MODEL=gpt-4o-mini
EMBEDDING_MODEL=text-embedding-3-small
EMBEDDING_DIM=1536
CONVERSATION_STARTERS="RAGについて教えて。\nLlama Indexについて教えて。"
OPENAI_API_KEY=sk-XXXXXXXXXX
STREAM_TIMEOUT=60000
QDRANT_URL=http://localhost:6333
QDRANT_COLLECTION=default
QDRANT_API_KEY=
FILESERVER_URL_PREFIX=http://localhost:8000/api/files
APP_HOST=0.0.0.0
APP_PORT=8000
SYSTEM_PROMPT='あなたは、ユーザからの質問に答える、親切な日本語のアシスタントです。'
SYSTEM_CITATION_PROMPT='You have provided information from a knowledge base that has been passed to you in nodes of information. Each node has useful metadata such as node ID, file name, page, etc. Please add the citation to the data node for each sentence or paragraph that you reference in the provided information. The citation format is: . [citation:<node_id>]()

Example:
We have two nodes:
  node_id: xyz
  file_name: llama.pdf

  node_id: abc
  file_name: animal.pdf

User question: Tell me a fun fact about Llama.
Your answer:
A baby llama is called "Cria" [citation:xyz]().
It often lives in desert [citation:abc]().'
JWT_SECRET_KEY=jwt_secret_key
JWT_REFRESH_SECRET_KEY=jwt_refresh_secret_key
MONGODB_URI=mongodb://admin:password@mongodb:27017/
MONGODB_NAME=RAGSAAS
ADMIN_EMAIL=admin@example.com
ADMIN_PASSWORD=examplepassword
ARIZE_PHOENIX_ENDPOINT=http://localhost:4317

(snip)

  backend:
(snip)
    ports:
      - '8000:8000'
    environment:
      # MongoDB Configuration
      MONGODB_NAME: RAGSAAS
      MONGODB_URI: mongodb://admin:password@mongodb:27017/
      # Qdrant Configuration
      QDRANT_COLLECTION: default
      QDRANT_URL: http://qdrant:6333
      # QDRANT_API_KEY:
      OPENAI_API_KEY: sk-XXXXXXXXXX
      # Backend Application Configuration
      MODEL_PROVIDER: openai
      MODEL: gpt-4o-mini
      EMBEDDING_MODEL: text-embedding-3-small
      EMBEDDING_DIM: 1536
      FILESERVER_URL_PREFIX: http://backend:8000/api/files
      SYSTEM_PROMPT: 'あなたは、ユーザの質問に答える、親切な日本語のアシスタントです。'
      APP_HOST: 0.0.0.0
      APP_PORT: 8000
      ADMIN_EMAIL: admin@example.com
      ADMIN_PASSWORD: examplepassword
      JWT_SECRET_KEY: jwt_secret_key
      JWT_REFRESH_SECRET_KEY: jwt_refresh_secret_key
      ARIZE_PHOENIX_ENDPOINT: http://arizephoenix:6006
    depends_on:
(snip)

  frontend:
(snip)
    ports:
      - '3000:3000'
    environment:
      NEXT_PUBLIC_SERVER_URL: http://localhost:8000
      NEXT_PUBLIC_CHAT_API: http://localhost:8000/api/chat
    depends_on:
(snip)

$ docker compose up -d

 ✔ Network ragsaas-network         Created                                                                                                  0.0s
 ✔ Volume "rag-saas_mongodb_data"  Created                                                                                                  0.0s
 ✔ Container qdrant                Started                                                                                                  0.5s
 ✔ Container mongodb               Started                                                                                                  0.5s
 ✔ Container arizephoenix          Started                                                                                                  0.5s
 ✔ Container backend               Started                                                                                                  0.4s
 ✔ Container frontend              Started

$ docker compose ps
NAME           IMAGE                         COMMAND                   SERVICE        CREATED          STATUS          PORTS
arizephoenix   arizephoenix/phoenix:latest   "/usr/bin/python3.11…"   arizephoenix   18 seconds ago   Up 17 seconds   0.0.0.0:4317->4317/tcp, 0.0.0.0:6006->6006/tcp, 9090/tcp
backend        ragsaas/backend:latest        "python main.py"          backend        18 seconds ago   Up 17 seconds   0.0.0.0:8000->8000/tcp
frontend       ragsaas/frontend:latest       "docker-entrypoint.s…"   frontend       17 seconds ago   Up 17 seconds   0.0.0.0:3000->3000/tcp
mongodb        mongo:latest                  "docker-entrypoint.s…"   mongodb        18 seconds ago   Up 17 seconds   0.0.0.0:27017->27017/tcp
qdrant         qdrant/qdrant:latest          "./entrypoint.sh"         qdrant         18 seconds ago   Up 17 seconds   0.0.0.0:6333-6334->6333-6334/tcp

PUT collections/default
{
  "vectors": {
      "size": 1536,
      "distance": "Cosine"
  } 
}

神戸までの主な利用交通機関の内訳を教えて。