.env.example

ENVIRONMENT=production

# You can generate a new secret key by running the following command
# $ python3 -c "import secrets; print(secrets.token_urlsafe(32))"
# SECRET_KEY is very important, please do not share it with others,
# SECRET_KEY must greater or equal to 32 characters.
SECRET_KEY=

# Replace with your own sentry dsn, leave it commented if you don't want to use sentry
# SENTRY_DSN=https://xxxx@xxx.sentry.io/xxxxxx

# Replace with your own TiDB cluster connection information,
# TiDB Serverless is recommended. You can quickly create one from https://tidbcloud.com/
TIDB_HOST=xxxxx.prod.aws.tidbcloud.com
TIDB_USER=
TIDB_PASSWORD=
TIDB_DATABASE=
TIDB_SSL=true

# CAUTION: Do not change EMBEDDING_DIMS after initializing the database.
# Changing the embedding dimensions requires recreating the database and tables.
# The default EMBEDDING_DIMS and EMBEDDING_MAX_TOKENS are set for the OpenAI text-embedding-3-small model.
# If using a different embedding model, adjust these values according to the model's specifications.
# For example:
#   openai/text-embedding-3-small: EMBEDDING_DIMS=1536, EMBEDDING_MAX_TOKENS=8191
#   maidalun1020/bce-embedding-base_v1: EMBEDDING_DIMS=768, EMBEDDING_MAX_TOKENS=512
#   BAAI/bge-m3: EMBEDDING_DIMS=1024, EMBEDDING_MAX_TOKENS=8192
EMBEDDING_DIMS=1536
# EMBEDDING_MAX_TOKENS should be equal or smaller than the embedding model's max tokens,
# it indicates the max size of document chunks.
EMBEDDING_MAX_TOKENS=8191