Release includes:
- HNSW access method now functional
- CREATE INDEX ... USING hnsw works
- Operator classes for L2, cosine, and inner product distances
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Co-Authored-By: Claude <noreply@anthropic.com>
- Rewrote hnsw_am.rs to fix pgrx 0.12 API compatibility:
- Use raw pg_sys::Relation instead of PgRelation wrapper
- Use palloc0 + Internal return type for handler function
- Fix ScanDirection and IndexUniqueCheck type paths
- Use RelationGetNumberOfBlocksInFork to check if index exists
- Use P_NEW (InvalidBlockNumber) for allocating first page
- Define static HNSW_AM_HANDLER template for IndexAmRoutine
- Enabled hnsw_am module in index/mod.rs
- Re-enabled HNSW access method SQL declarations:
- hnsw_handler function
- CREATE ACCESS METHOD hnsw
- Operator families: hnsw_l2_ops, hnsw_cosine_ops, hnsw_ip_ops
- Operator classes with distance function bindings
CREATE INDEX ... USING hnsw now works with real[] columns.
Query planner uses HNSW index for ORDER BY <-> queries.
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- Add federated.rs with star topology architecture for distributed training
- EphemeralAgent: lightweight wrapper (~5MB footprint, 500 trajectory buffer)
- FederatedCoordinator: central aggregator with quality filtering
- Add export methods to SonaEngine (export_lora_state, get_all_patterns, etc)
- Fix factory.rs and pipeline.rs to use SonaEngine::with_config()
- Bump version to 0.1.3
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- Fixed 13 sparse vector function symbol names (ruvector_* -> pg_*)
pgrx exports C symbols from Rust function names, not `name = "..."` attribute
- Commented out non-existent GAT and GNN readout SQL declarations
- Disabled HNSW access method SQL (CREATE ACCESS METHOD, operator families,
operator classes) - requires pgrx API stabilization for full implementation
- Keep distance operators (<->, <=>, <#>) available as standalone functions
- Extension now loads successfully with 104 working SQL functions
Tested: Docker build succeeds, extension creates without errors,
core vector/graph/attention/routing functions verified working
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- Fix package.json napi config (use binaryName/targets instead of deprecated name/triples)
- Update build script to use correct napi-rs CLI arguments
- Publish @ruvector/sona-linux-x64-gnu@0.1.3 platform package
- Publish @ruvector/sona@0.1.3 main package with Linux x64 native binary
- Update GitHub Actions workflow with improved build process
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- Add export module with SafeTensors, Dataset, HuggingFace Hub, and PretrainPipeline support
- Create GitHub Actions workflow for NAPI-RS cross-platform builds (Linux, macOS, Windows)
- Support 7 build targets: x64/ARM64 for Linux GNU/MUSL, macOS, Windows
- Add universal macOS binary via lipo
- Integrate ruvector-sona export into ruvLLM example with CLI tool
- Bump npm package to 0.1.3 with platform-specific optionalDependencies
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- Add 6 detailed tutorials from beginner to production deployment
- Document core concepts: embeddings, trajectories, Two-Tier LoRA, EWC++, ReasoningBank
- Include installation guides for Rust, Node.js, and WASM/browser
- Add configuration presets: max_throughput, max_quality, edge_deployment, batch_processing
- Complete API reference tables for all modules
- Add benchmarks section with performance metrics
- Include troubleshooting guide for common issues
- 1300+ lines of comprehensive documentation
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- Eliminate vector clone in insert() by searching first, then inserting
- Remove unused hybrid-search and filtered-search feature flags
- Bump versions: ruvector-postgres 0.2.2, @ruvector/postgres-cli 0.1.2
Performance: Insert operations now require zero vector copies for the common
case (non-empty index), reducing memory allocations in hot path.
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- Add configurable max_layers (was hardcoded to 32)
- Add overflow protection for Node IDs
- Add #[inline] to hot path functions (calc_distance, search_layer, etc.)
- Optimize insert() with fast path for empty index (avoids clone)
- Improve typmod parsing with better error messages and null checks
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- Add postgres badge to header badges
- Update PostgreSQL Extension section with v0.2.0 features
- Add installation instructions for Docker, cargo pgrx, and npm CLI
- Add @ruvector/postgres-cli to npm packages list
- Document 53+ SQL functions, AVX-512 SIMD, and advanced features
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- Add ruvector-sona and @ruvector/sona badges to header
- Update SONA section with correct crate name (ruvector-sona)
- Add npm badge and Node.js usage example to SONA section
- Add "Runtime Adaptation (SONA)" to comparison table
- Add SONA to AI & ML features table
- Add SONA installation commands (cargo add, npm install)
- Update "What Problem Does RuVector Solve?" with continuous learning
Published packages:
- crates.io: ruvector-sona v0.1.0
- npm: @ruvector/sona v0.1.0
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Published @ruvector/sona v0.1.1 to npm registry.
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- Add SONA section to main README with crate and npm package badges
- Add @ruvector/sona to published npm packages list
- Improve crates/sona/Cargo.toml with better metadata and keywords
- Improve npm/packages/sona/package.json with SEO keywords and links
- Add LICENSE-MIT and LICENSE-APACHE files to sona crate
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- Comprehensive README with:
- Performance comparison tables
- Architecture diagrams
- Multiple code examples (Rust, Node.js, WASM)
- Use case tutorials
- API reference with latency metrics
- Feature flag documentation
- Publishing preparation:
- Updated Cargo.toml with full metadata
- Added LICENSE-MIT and LICENSE-APACHE
- Package include list for crates.io
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Co-Authored-By: Claude <noreply@anthropic.com>
Changed @google-cloud/sql (doesn't exist) to @google-cloud/cloud-sql-connector
which is the actual Google Cloud SQL connector package.
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Implement complete SONA system with:
- LoRA-Ultra: Adaptive low-rank adaptation for efficient fine-tuning
- Learning Loops: Instant, background, and coordinated learning modes
- EWC++: Enhanced elastic weight consolidation for continual learning
- ReasoningBank: Trajectory storage with verdict-based learning
- WASM bindings for browser deployment
- N-API bindings for Node.js integration
- Comprehensive documentation and benchmarks
New crate: crates/sona with full implementation
Integration: examples/ruvLLM with SONA module
NPM package: npm/packages/sona for JavaScript bindings
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- Enhanced postgres-cli README with badges, architecture diagram, benchmarks,
usage tutorial, and comprehensive command reference
- Added 50+ SEO keywords to package.json including vector-database, pgvector,
hnsw, gnn, attention, hyperbolic, rag, llm, semantic-search
- Updated Cargo.toml with homepage, documentation links, authors, and better
description for crates.io visibility
Published @ruvector/postgres-cli@0.1.0 to npm registry.
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- Change createVectorTable to use ruvector type (native RuVector extension)
- Add dimensions column for metadata since ruvector is variable-length
- Update index creation to use simple btree (HNSW/IVFFlat TBD)
- Tested against Docker container with ruvector extension
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Co-Authored-By: Claude <noreply@anthropic.com>
- Fix simsimd Option/Result type mismatch in scaled_dot.rs
- Fix f32/f64 type conversions in poincare.rs and lorentz.rs
- Fix AVX512 missing wrapper functions by using AVX2 fallback
- Fix Vec<Vec<f32>> to JsonB for pgrx pg_extern compatibility
- Fix DashMap get() to get_mut() for mutable access
- Fix router.rs dereference for best_score comparison
- Update Dockerfile to copy pre-written SQL file for pgrx
- Simplify init.sql to use correct function names
- Add postgres-cli npm package for CLI tooling
All changes tested successfully in Docker with:
- Extension loads with AVX2 SIMD support (8 floats/op)
- Distance functions verified working
- PostgreSQL 16 container runs successfully
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Co-Authored-By: Claude <noreply@anthropic.com>
Moved from "Ready to Publish" to "Published":
- @ruvector/wasm
- @ruvector/gnn-wasm
- @ruvector/graph-wasm
- @ruvector/attention-wasm
- @ruvector/tiny-dancer-wasm
- @ruvector/router-wasm
- @ruvector/cluster
- @ruvector/server
Now 17 npm packages published total.
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Added one-line descriptions before each feature table:
- Core Capabilities: Essential vector database features
- Distributed Systems: Scale horizontally with clustering
- AI & ML: Built-in machine learning capabilities
- Deployment: Run anywhere—server, browser, or embedded
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Added two key capabilities to "What Problem Does RuVector Solve?":
- 39 attention mechanisms (flash, linear, graph, hyperbolic)
- PostgreSQL extension (pgvector-compatible with SIMD)
Updated tagline to include pgvector in the comparison.
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Added one-line descriptions before each table:
- Core: Standard attention for sequence modeling
- Graph: Attention for graph-structured data and GNNs
- Specialized: Task-specific variants for efficiency
- Hyperbolic: Curved space for hierarchies
- Async: High-throughput inference utilities
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The ruvector-attention package only exists in crates/, not npm/packages/.
Updated the documentation link to point to the correct location.
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- Moved agentic-integration to npm/packages/
- Moved burst-scaling to npm/packages/
- Moved cloud-run to npm/packages/
- Removed empty /src directory
Consolidates all npm packages under npm/packages/ for cleaner organization.
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