kotadb 0.5.0

A custom database for distributed human-AI cognition
Documentation 
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# KotaDB MCP Server Development Configuration

[server]
host = "127.0.0.1"
port = 9876
max_connections = 100
request_timeout = "30s"
enable_cors = true

[database]
data_dir = "./kotadb-data"
max_cache_size = 1000
enable_wal = true
worker_threads = 4
max_blocking_threads = 16

[mcp]
# MCP Protocol Configuration
protocol_version = "2024-11-05"
server_name = "kotadb"
server_version = "0.2.0"

# Tool Categories
enable_document_tools = true
enable_search_tools = true

[logging]
level = "debug"
format = "pretty"
output = "stdout"

[performance]
# Query Performance Targets
max_query_latency_ms = 10
max_semantic_search_latency_ms = 100
bulk_operation_batch_size = 1000

[security]
# Security Settings
max_request_size = "10MB"
rate_limit_requests_per_minute = 1000
enable_request_validation = true

[embeddings]
# Embedding Configuration for Semantic Search
provider = "local"
model = "all-MiniLM-L6-v2"
dimension = 384
batch_size = 32