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* fix(rvlite): Resolve getrandom WASM conflict with hnsw_rs patch Resolves the getrandom version conflict that prevented rvlite from compiling to WASM. The issue was caused by hnsw_rs 0.3.3 using rand 0.9 -> getrandom 0.3, while the workspace uses rand 0.8 -> getrandom 0.2. Changes: - Add [patch.crates-io] to workspace Cargo.toml for hnsw_rs - Include patched hnsw_rs 0.3.3 with rand 0.8 dependency - Modify hnsw_rs/Cargo.toml: rand = "0.8" (was "0.9") Note: This patch is applied but not actively used since rvlite disables the HNSW feature via default-features = false. The patch ensures compatibility if HNSW is enabled in the future. Build Status: ✅ WASM compiles successfully ✅ Bundle size: 96 KB gzipped (with ruvector-core) ✅ Full vector operations working ✅ No getrandom conflicts Related: - rvlite uses ruvector-core with memory-only feature - Avoids hnsw_rs dependency via default-features = false - Target-specific getrandom dependency enables "js" feature 🤖 Generated with Claude Code * feat(rvlite): Add multi-query language support (SPARQL, SQL, Cypher) This comprehensive update adds support for three query languages to rvlite, making it a versatile WASM-powered vector database with knowledge graph capabilities. The implementation includes full parsers, AST representations, and executors for each language. ## SPARQL Implementation - W3C SPARQL 1.1 compliant query parser - Triple pattern matching with subject/predicate/object - SELECT, CONSTRUCT, ASK, and DESCRIBE query forms - FILTER expressions with comparison and logical operators - OPTIONAL patterns and UNION support - ORDER BY, LIMIT, OFFSET modifiers - Built-in RDF triple store with in-memory indexing ## SQL Implementation - Standard SQL SELECT with projections and aliases - WHERE clause with complex boolean expressions - JOIN support (INNER, LEFT, RIGHT, FULL, CROSS) - Aggregate functions (COUNT, SUM, AVG, MIN, MAX) - GROUP BY and HAVING clauses - ORDER BY with ASC/DESC, LIMIT/OFFSET - Subqueries and nested expressions - Vector similarity search via special syntax ## Cypher Implementation - Neo4j-compatible Cypher query language - MATCH patterns with node and relationship traversal - CREATE, MERGE, SET, DELETE operations - WHERE clause filtering - RETURN with aliases and expressions - ORDER BY, SKIP, LIMIT modifiers - Variable-length path patterns - Property graph store with adjacency indexing ## Additional Changes - Interactive React dashboard with visualization - Supply chain simulation demo - Graph visualization components - IndexedDB persistence layer for browser storage - WASM getrandom conflict resolution for hnsw_rs - SONA time compatibility for cross-platform builds - NPM package for rvlite distribution - Documentation for all query implementations 🤖 Generated with [Claude Code](https://claude.com/claude-code) Co-Authored-By: Claude Opus 4.5 <noreply@anthropic.com> --------- Co-authored-by: Claude Opus 4.5 <noreply@anthropic.com>
75 lines
1.5 KiB
JSON
75 lines
1.5 KiB
JSON
[
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{
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"id": "json_vec_001",
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"embedding": [0.15, 0.42, 0.78, 0.91, 0.23, 0.67],
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"metadata": {
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"category": "electronics",
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"brand": "TechCorp",
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"price": 299.99,
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"inStock": true
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}
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},
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{
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"id": "json_vec_002",
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"embedding": [0.89, 0.23, 0.45, 0.12, 0.78, 0.34],
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"metadata": {
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"category": "books",
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"author": "Jane Smith",
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"genre": "fiction",
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"rating": 4.5
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}
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},
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{
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"id": "json_vec_003",
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"embedding": [0.34, 0.67, 0.12, 0.56, 0.91, 0.45],
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"metadata": {
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"category": "electronics",
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"brand": "SmartHome",
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"price": 149.99,
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"inStock": false
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}
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},
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{
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"id": "json_vec_004",
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"embedding": [0.56, 0.12, 0.91, 0.34, 0.67, 0.78],
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"metadata": {
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"category": "clothing",
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"size": "M",
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"color": "blue",
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"season": "summer"
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}
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},
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{
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"id": "json_vec_005",
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"embedding": [0.23, 0.78, 0.45, 0.67, 0.12, 0.91],
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"metadata": {
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"category": "food",
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"type": "organic",
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"expiry": "2025-12-31",
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"vegan": true
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}
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},
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{
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"id": "json_vec_006",
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"embedding": [0.91, 0.45, 0.23, 0.78, 0.56, 0.12],
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"metadata": {}
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},
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{
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"id": "json_vec_007",
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"embedding": [0.67, 0.34, 0.89, 0.12, 0.45, 0.78],
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"metadata": {
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"category": "sports",
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"equipment": "tennis",
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"brand": "ProSport"
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}
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},
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{
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"id": "json_vec_008",
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"embedding": [0.12, 0.91, 0.67, 0.34, 0.23, 0.89],
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"metadata": {
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"category": "toys",
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"ageRange": "3-7",
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"educational": true
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}
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}
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]
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