SERVER_PORT=3001 CACHE_VECTORS="true" JWT_SECRET="my-random-string-for-seeding" # Please generate random string at least 12 chars long. ########################################### ######## LLM API SElECTION ################ ########################################### # LLM_PROVIDER='openai' # OPEN_AI_KEY= # OPEN_MODEL_PREF='gpt-3.5-turbo' # LLM_PROVIDER='azure' # AZURE_OPENAI_ENDPOINT= # AZURE_OPENAI_KEY= # OPEN_MODEL_PREF='my-gpt35-deployment' # This is the "deployment" on Azure you want to use. Not the base model. # EMBEDDING_MODEL_PREF='embedder-model' # This is the "deployment" on Azure you want to use for embeddings. Not the base model. Valid base model is text-embedding-ada-002 # LLM_PROVIDER='anthropic' # ANTHROPIC_API_KEY=sk-ant-xxxx # ANTHROPIC_MODEL_PREF='claude-2' # LLM_PROVIDER='lmstudio' # LMSTUDIO_BASE_PATH='http://your-server:1234/v1' # LMSTUDIO_MODEL_TOKEN_LIMIT=4096 # LLM_PROVIDER='localai' # LOCAL_AI_BASE_PATH='http://localhost:8080/v1' # LOCAL_AI_MODEL_PREF='luna-ai-llama2' # LOCAL_AI_MODEL_TOKEN_LIMIT=4096 # LOCAL_AI_API_KEY="sk-123abc" ########################################### ######## Embedding API SElECTION ########## ########################################### # Only used if you are using an LLM that does not natively support embedding (openai or Azure) # EMBEDDING_ENGINE='openai' # OPEN_AI_KEY=sk-xxxx # EMBEDDING_ENGINE='azure' # AZURE_OPENAI_ENDPOINT= # AZURE_OPENAI_KEY= # EMBEDDING_MODEL_PREF='my-embedder-model' # This is the "deployment" on Azure you want to use for embeddings. Not the base model. Valid base model is text-embedding-ada-002 # EMBEDDING_ENGINE='localai' # EMBEDDING_BASE_PATH='https://localhost:8080/v1' # EMBEDDING_MODEL_PREF='text-embedding-ada-002' ########################################### ######## Vector Database Selection ######## ########################################### # Enable all below if you are using vector database: Chroma. # VECTOR_DB="chroma" # CHROMA_ENDPOINT='http://localhost:8000' # CHROMA_API_HEADER="X-Api-Key" # CHROMA_API_KEY="sk-123abc" # Enable all below if you are using vector database: Pinecone. # VECTOR_DB="pinecone" # PINECONE_ENVIRONMENT= # PINECONE_API_KEY= # PINECONE_INDEX= # Enable all below if you are using vector database: LanceDB. VECTOR_DB="lancedb" # Enable all below if you are using vector database: Weaviate. # VECTOR_DB="weaviate" # WEAVIATE_ENDPOINT="http://localhost:8080" # WEAVIATE_API_KEY= # Enable all below if you are using vector database: Qdrant. # VECTOR_DB="qdrant" # QDRANT_ENDPOINT="http://localhost:6333" # QDRANT_API_KEY= # CLOUD DEPLOYMENT VARIRABLES ONLY # AUTH_TOKEN="hunter2" # This is the password to your application if remote hosting. # STORAGE_DIR= # absolute filesystem path with no trailing slash # NO_DEBUG="true" ########################################### ######## PASSWORD COMPLEXITY ############## ########################################### # Enforce a password schema for your organization users. # Documentation on how to use https://github.com/kamronbatman/joi-password-complexity #PASSWORDMINCHAR=8 #PASSWORDMAXCHAR=250 #PASSWORDLOWERCASE=1 #PASSWORDUPPERCASE=1 #PASSWORDNUMERIC=1 #PASSWORDSYMBOL=1 #PASSWORDREQUIREMENTS=4