Raven ScottandCursor
e43e2e83f1
Extend all eight index/search packages with practical helpers for app development and fix semantic-vector getStats() to expose real metrics. Per-module code: - bloom-gossip: listKeys(), clear() - inverted-index: searchAll(and|or), getDocTerms() - fulltext-lite: search(and|or), suggest(prefix) - trie-prefix: countPrefix(), autocomplete(limit) - graph-index: removeEdge(), outDegree(), edgeCount() - similarity-lsh: nearVector(), bucketCount() - semantic-vector-index: getStats() delegates to getMetrics() + PROTOCOL export - spatial-index: listLocalPoints(), pointCount(), protocol in getStats() Tests added for new APIs across six packages; all indexes-search npm test suites pass (8/8). Docs: - Rewrite indexes-search category README (module table, composition) - Expand bloom-gossip and semantic-vector architecture notes - modules/README.md: link indexes-search doc hub Parent workspace docs/indexes-search/README.md and MODULE_DOC_PASS.md updated separately (outside this git root). Co-authored-by: Cursor <[email protected]>
hyper-p2p-inverted-index
Distributed inverted index with term-level gossip sync over Hyperswarm.
Category: indexes-search
Composes with: hyper-p2p-topic-channel
Protocol: inverted-index/v1
When to use
Peer-assisted document lookup where each node indexes local docs and merges remote term postings via gossip.
When not to use
Large-scale search requiring ranked full-text scoring (use hyper-p2p-fulltext-lite) or exact global consistency without merge semantics.
Quick start
const { HyperP2PInvertedIndex } = require('hyper-p2p-inverted-index')
const topic = process.argv[2]
const mod = new HyperP2PInvertedIndex({ topic })
await mod.ready()
mod.index('doc-1', ['pear', 'p2p'])
console.log(mod.search('pear'))
await mod.close()
Docs
- docs/api.md — constructor, methods, events, errors
- docs/architecture.md — wire types, state, composition
- ../../_shared/PRODUCTION.md — production checklist
Test
npm install && npm test