Refactor LibreChat subproject commit reference
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Submodule LibreChat updated: 3999e852a8...3058cfa875
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# For more information, see the Configuration Guide:
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# https://docs.librechat.ai/install/configuration/custom_config.html
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# Configuration version (required)
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version: 1.0.6
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# Cache settings: Set to true to enable caching
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cache: true
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# Custom nterface configuration
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interface:
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# Privacy policy settings
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privacyPolicy:
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externalUrl: 'https://librechat.ai/privacy-policy'
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openNewTab: true
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# Terms of service
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termsOfService:
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externalUrl: 'https://librechat.ai/tos'
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openNewTab: true
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# Example Registration Object Structure (optional)
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registration:
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socialLogins: ['github', 'google', 'discord', 'openid', 'facebook']
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# allowedDomains:
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# - "gmail.com"
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# rateLimits:
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# fileUploads:
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# ipMax: 100
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# ipWindowInMinutes: 60 # Rate limit window for file uploads per IP
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# userMax: 50
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# userWindowInMinutes: 60 # Rate limit window for file uploads per user
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# Definition of custom endpoints
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endpoints:
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# assistants:
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# disableBuilder: false # Disable Assistants Builder Interface by setting to `true`
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# pollIntervalMs: 750 # Polling interval for checking assistant updates
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# timeoutMs: 180000 # Timeout for assistant operations
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# # Should only be one or the other, either `supportedIds` or `excludedIds`
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# supportedIds: ["asst_supportedAssistantId1", "asst_supportedAssistantId2"]
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# # excludedIds: ["asst_excludedAssistantId"]
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# # (optional) Models that support retrieval, will default to latest known OpenAI models that support the feature
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# retrievalModels: ["gpt-4-turbo-preview"]
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# # (optional) Assistant Capabilities available to all users. Omit the ones you wish to exclude. Defaults to list below.
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# capabilities: ["code_interpreter", "retrieval", "actions", "tools", "image_vision"]
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custom:
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# Groq Example
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- name: 'groq'
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apiKey: '${GROQ_API_KEY}'
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baseURL: 'https://api.groq.com/openai/v1/'
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models:
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default: [
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"llama3-70b-8192",
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"llama3-8b-8192",
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"llama2-70b-4096",
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"mixtral-8x7b-32768",
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"gemma-7b-it",
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]
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fetch: false
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titleConvo: true
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titleModel: 'llama3-70b-8192'
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modelDisplayLabel: 'groq'
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# # Mistral AI Example
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# - name: 'Mistral' # Unique name for the endpoint
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# # For `apiKey` and `baseURL`, you can use environment variables that you define.
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# # recommended environment variables:
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# apiKey: '${MISTRAL_API_KEY}'
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# baseURL: 'https://api.mistral.ai/v1'
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# # Models configuration
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# models:
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# # List of default models to use. At least one value is required.
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# default: ['mistral-tiny', 'mistral-small', 'mistral-medium']
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# # Fetch option: Set to true to fetch models from API.
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# fetch: true # Defaults to false.
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# # Optional configurations
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# # Title Conversation setting
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# titleConvo: true # Set to true to enable title conversation
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# # Title Method: Choose between "completion" or "functions".
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# # titleMethod: "completion" # Defaults to "completion" if omitted.
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# # Title Model: Specify the model to use for titles.
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# titleModel: 'mistral-tiny' # Defaults to "gpt-3.5-turbo" if omitted.
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# # Summarize setting: Set to true to enable summarization.
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# # summarize: false
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# # Summary Model: Specify the model to use if summarization is enabled.
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# # summaryModel: "mistral-tiny" # Defaults to "gpt-3.5-turbo" if omitted.
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# # Force Prompt setting: If true, sends a `prompt` parameter instead of `messages`.
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# # forcePrompt: false
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# # The label displayed for the AI model in messages.
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# modelDisplayLabel: 'Mistral' # Default is "AI" when not set.
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# # Add additional parameters to the request. Default params will be overwritten.
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# # addParams:
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# # safe_prompt: true # This field is specific to Mistral AI: https://docs.mistral.ai/api/
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# # Drop Default params parameters from the request. See default params in guide linked below.
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# # NOTE: For Mistral, it is necessary to drop the following parameters or you will encounter a 422 Error:
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# dropParams: ['stop', 'user', 'frequency_penalty', 'presence_penalty']
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# # OpenRouter Example
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# - name: 'OpenRouter'
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# # For `apiKey` and `baseURL`, you can use environment variables that you define.
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# # recommended environment variables:
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# # Known issue: you should not use `OPENROUTER_API_KEY` as it will then override the `openAI` endpoint to use OpenRouter as well.
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# apiKey: '${OPENROUTER_KEY}'
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# baseURL: 'https://openrouter.ai/api/v1'
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# models:
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# default: ['gpt-3.5-turbo']
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# fetch: true
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# titleConvo: true
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# titleModel: 'gpt-3.5-turbo'
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# # Recommended: Drop the stop parameter from the request as Openrouter models use a variety of stop tokens.
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# dropParams: ['stop']
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# modelDisplayLabel: 'OpenRouter'
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# fileConfig:
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# endpoints:
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# assistants:
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# fileLimit: 5
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# fileSizeLimit: 10 # Maximum size for an individual file in MB
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# totalSizeLimit: 50 # Maximum total size for all files in a single request in MB
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# supportedMimeTypes:
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# - "image/.*"
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# - "application/pdf"
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# openAI:
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# disabled: true # Disables file uploading to the OpenAI endpoint
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# default:
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# totalSizeLimit: 20
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# YourCustomEndpointName:
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# fileLimit: 2
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# fileSizeLimit: 5
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# serverFileSizeLimit: 100 # Global server file size limit in MB
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# avatarSizeLimit: 2 # Limit for user avatar image size in MB
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# See the Custom Configuration Guide for more information:
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# https://docs.librechat.ai/install/configuration/custom_config.html
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@@ -0,0 +1,81 @@
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# Do not edit this file directly. Use a ‘docker-compose.override.yaml’ file if you can.
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# Refer to `docker-compose.override.yaml.example’ for some sample configurations.
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volumes:
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data-node:
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pgdata2:
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libre-images:
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libre-logs:
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meili_data:
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services:
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api:
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container_name: LibreChat
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ports:
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- "${PORT}:${PORT}"
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depends_on:
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- mongodb
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- rag_api
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image: ghcr.io/danny-avila/librechat-dev:latest
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restart: always
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user: "${UID}:${GID}"
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extra_hosts:
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- "host.docker.internal:host-gateway"
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environment:
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- HOST=0.0.0.0
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- MONGO_URI=mongodb://mongodb:27017/LibreChat
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- MEILI_HOST=http://meilisearch:7700
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- RAG_PORT=${RAG_PORT:-8000}
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- RAG_API_URL=http://rag_api:${RAG_PORT:-8000}
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volumes:
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- type: bind
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source: ./.env
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target: /app/.env
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- libre-images:/app/client/public/images
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- libre-logs:/app/api/logs
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- type: bind
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source: ./config/librechat.yaml
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target: /app/librechat.yaml
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mongodb:
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container_name: chat-mongodb
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image: mongo
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restart: always
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user: "${UID}:${GID}"
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volumes:
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- data-node:/data/db
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command: mongod --noauth
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meilisearch:
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container_name: chat-meilisearch
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image: getmeili/meilisearch:v1.7.3
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restart: always
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user: "${UID}:${GID}"
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environment:
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- MEILI_HOST=http://meilisearch:7700
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- MEILI_NO_ANALYTICS=true
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volumes:
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- meili_data:/meili_data
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vectordb:
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container_name: vectordb
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image: ankane/pgvector:latest
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environment:
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POSTGRES_DB: mydatabase
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POSTGRES_USER: myuser
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POSTGRES_PASSWORD: mypassword
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restart: always
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volumes:
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- pgdata2:/var/lib/postgresql/data
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rag_api:
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container_name: rag_api
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image: ghcr.io/danny-avila/librechat-rag-api-dev:latest
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environment:
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POSTGRES_DB: mydatabase
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POSTGRES_USER: myuser
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POSTGRES_PASSWORD: mypassword
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DB_HOST: vectordb
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RAG_PORT: ${RAG_PORT:-8000}
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restart: always
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depends_on:
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- vectordb
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env_file:
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- .env
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