Your data,
domiciled on
your device.

// npm install @kyrillosishak/domicile
import Domicile from '@kyrillosishak/domicile';

// A private, in-browser custody layer
const db = new Domicile({
  storage:   { dbName: 'matter-files' },
  index:     { dimensions: 384, metric: 'cosine' },
  embedding: { model: 'Xenova/all-MiniLM-L6-v2', device: 'webgpu' },
});

await db.initialize();

await db.insert({
  text: 'Privileged communication — attorney work product',
  metadata: { matter: 'M-204', privilege: 'true' },
});

const results = await db.search({ text: 'summary of work product', k: 5 });
console.log(results);

// Retrieval with privilege-aware metadata filtering
const results = await db.search({
  text: 'indemnification clauses',
  k: 10,
  filter: { field: 'matter', operator: 'eq', value: 'M-204' },
});

for (const r of results) {
  console.log(r.score.toFixed(3), r.metadata);
}

// Inspect custody state
const stats: IndexStats = await db.stats();
console.log(stats.vectorCount, stats.memoryUsage);

import { RAGPipelineManager, WllamaProvider } from '@kyrillosishak/domicile';

const llm = new WllamaProvider({ model: '...' });
const rag = new RAGPipelineManager(db, llm, embedding);

// Ask questions grounded in privileged matter files
const result = await rag.query('Summarize the indemnification position.', {
  topK: 3,
  generateOptions: { maxTokens: 256, temperature: 0.7 },
});

console.log(result.answer);   // generated response
console.log(result.sources);  // cited source documents

import { MCPServer } from '@kyrillosishak/domicile';

// Expose your custody layer as tools for AI agents
const mcp = new MCPServer(db, rag);

const tools: MCPTool[] = mcp.getTools();
// → [search, insert, rag_query, ...]

// Wire into Claude Desktop or any MCP-aware agent
mcp.serve({ transport: 'stdio' });