devabase.toml

# Devabase Configuration

[server]
host = "0.0.0.0"
port = 9002
ui_enabled = true

[database]
url = "${DATABASE_URL}"
max_connections = 20
run_migrations = true

[storage]
driver = "local"
path = "./data/files"
max_file_size = "100MB"

[vector]
default_dimensions = 768  # Match your embedding model's output (sroberta-multitask = 768)
default_metric = "cosine"
index_type = "hnsw"

[embedding]
# Supported providers: "openai", "ollama", "custom"
#
# For OpenAI:
#   provider = "openai"
#   api_key = "${OPENAI_API_KEY}"
#   model = "text-embedding-3-small"  # or text-embedding-3-large, text-embedding-ada-002
#
# For Custom embedding service (OpenAI-compatible API):
#   provider = "custom"
#   base_url = "http://your-host:port/api/v1"
#   api_key = "your-api-key"  # sent as X-API-KEY header
#   model = "your-model-name"
#   Endpoint called: POST {base_url}/{model}/embeddings
#
#provider = "openai"
#api_key = "${OPENAI_API_KEY}"
#model = "text-embedding-3-small"
#batch_size = 100

provider = "custom"
api_key = "sk-d7a20eb034c847e8994e192b40c69a61"  # Optional, sent as X-API-KEY header
base_url = "http://gpu-local.sovanreach.com:9020/api/v1"
model = "sroberta-multitask"

[chunking]
default_strategy = "markdown"
chunk_size = 256  # Reduced for 128 token limit (~4 chars/token)
chunk_overlap = 32

[cache]
enabled = true
ttl_seconds = 86400

[auth]
jwt_secret = "${JWT_SECRET}"
api_key_prefix = "dvb_"
token_expiry_hours = 24