SDK Overview

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What’s included

• On-device vector search with optional cloud sync for indexes
• Semantic, keyword, and hybrid retrieval (tune via alpha)
• Multi-index support and privacy-first footprint (Rust core under the hood)

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Use cases

• Knowledge base search with cloud backup
• Voice/agent knowledge with persistent indexes
• Personal/edge search with cloud fallback

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Install

• JavaScript/TypeScript: npm install @inferedge/moss
• Python: pip install inferedge-moss

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Models

• moss-minilm (default): fast, lightweight, great for edge/offline
• moss-mediumlm: higher accuracy with reasonable performance

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Client lifecycle

• Create index with docs + model → Load index → Query (top_k, alpha) → Upsert/delete docs → Delete index when done

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Examples (JS/Python)

import { MossClient, DocumentInfo } from '@inferedge/moss'

const client = new MossClient(projectId, projectKey)

const docs: DocumentInfo[] = [
  { id: 'doc1', text: 'Track orders in your account.', metadata: { category: 'shipping' } },
  { id: 'doc2', text: '30-day return policy for most items.', metadata: { category: 'returns' } },
  { id: 'doc3', text: 'Change address via customer service.', metadata: { category: 'support' } },
]

await client.createIndex('faqs', docs, { modelId: 'moss-minilm' }) // creates & syncs
await client.loadIndex('faqs') // loads from cloud or cache
const results = await client.query('faqs', 'return a damaged product', { topK: 3 })
await client.deleteIndex('faqs')

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Common types

• DocumentInfo – { id: string; text: string; metadata?: Record<string,string> }
• MutationOptions – { upsert?: boolean }
• QueryOptions – JavaScript: { topK?: number; embedding?: number[] } · Python: QueryOptions(top_k?: int, alpha?: float, embedding?: Sequence[float])
• alpha (Python query option) – blend semantic (1.0) vs keyword (0.0); defaults to semantic-heavy

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Hybrid search controls

await client.query('faqs', 'return policy', { topK: 3 })

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Sample code

• Repo: moss-samples
• JavaScript: javascript/comprehensive_sample.ts, javascript/load_and_query_sample.ts
• Python: python/comprehensive_sample.py, python/load_and_query_sample.py
• Python deps: pip install -r python/requirements.txt, then python path/to/sample.py
• Python walkthrough: