vrr/ruvector
2
0
Fork 0
mirror of https://github.com/ruvnet/RuVector.git synced 2026-05-27 08:45:07 +00:00
Code Issues Projects Releases Packages Wiki Activity Actions 1
2409 commits 179 branches 48 tags 582 MiB
Commit graph

3 commits

Author SHA1 Message Date
rUv
161f890ddb fix: apply cargo fmt across workspace and fix CI issues 
- Run cargo fmt --all to fix formatting in 362 files across the entire workspace
- Add PGDG repository for PostgreSQL 17 in CI test-all-features and benchmark jobs
- Add missing rvf dependency crates to standalone Dockerfile for domain-expansion
- Add sona-learning and domain-expansion features to standalone Dockerfile build
- Create npu.rs stub for ruvector-sparse-inference (fixes rustfmt resolution error)

Co-Authored-By: claude-flow <ruv@ruv.net>
 2026-02-21 20:56:38 +00:00
Claude
c3e6436a23 docs: Polish temporal tensor crate with clippy fixes, docs, and utilities 
- Fix all clippy warnings: module-level //! docs, .div_ceil(), is_empty()
- Optimize segment::decode to call dequantize_f32 directly (skip legacy wrapper)
- Add decode_single_frame() for random-access frame decoding
- Add compression_ratio() utility for segment inspection
- Add comprehensive doc-examples with 3 tested examples in lib.rs
- Fix HEADER_SIZE offset bug in decode_single_frame (22 vs 26)
- All 41 unit tests + 3 doc-tests pass, 0 clippy warnings

https://claude.ai/code/session_01U63xtGd5Q8mUevyY7nUSfJ
 2026-02-06 00:50:48 +00:00
Claude
2a21efbb5c feat: Add ADR-017 temporal tensor compression with tiered quantization 
Introduces a complete temporal tensor compression system with:

- ADR-017: SOTA research-backed architecture decision record covering
  groupwise symmetric quantization, temporal segment reuse, access-pattern
  driven tier selection (8/7/5/3 bit), and WASM-compatible design

- ruvector-temporal-tensor crate (zero external dependencies):
  - tier_policy: Score-based hot/warm/cold bit-width selection
  - f16: Software IEEE 754 half-precision conversion
  - bitpack: Arbitrary bit-width stream packing (no alignment waste)
  - quantizer: Groupwise symmetric quantization with f16 scales
  - segment: Binary segment format (TQTC) encode/decode
  - compressor: Temporal segment manager with drift detection
  - ffi: WASM/C FFI with handle-based resource management

- ruvector-temporal-tensor-wasm crate for wasm32 targets

- 33 passing unit tests covering all modules

Compression targets: 4x (hot/8-bit), 4.57x (warm/7-bit),
6.4x (warm/5-bit), 10.67x (cold/3-bit) vs f32 baseline.

https://claude.ai/code/session_01U63xtGd5Q8mUevyY7nUSfJ
 2026-02-06 00:28:21 +00:00