mirror of
https://github.com/lancedb/lancedb.git
synced 2026-10-22 11:42:27 +00:00
Dan RammerandClaude Opus 5.5
92825f6f13
## What Renames the user-facing MemWAL surface to **RTE** (realtime engine) across Rust, Python, TypeScript, and Java, including the REST wire format. This follows the LSM → MemWAL rename in #4075. | Before | After | |---|---| | `MemWalWriteSpec` / `MemWalStats` | `RTEWriteSpec` / `RTEStats` | | `enable_memwal` / `disable_memwal` / `get_memwal_spec` | `enable_rte` / `disable_rte` / `get_rte_spec` | | `flush_memwal` / `compact_memwal` / `checkpoint_memwal` | `flush_rte` / `compact_rte` / `checkpoint_rte` | | `get_memwal_stats` / `close_memwal_writers` | `get_rte_stats` / `close_rte_writers` | | `use_memwal` (query, merge insert) | `use_rte` | | TS/Java `enableMemWal`, `useMemWal`, ... | `enableRTE`, `useRTE`, ... (napi `js_name` set explicitly) | | Java `LanceDbTableMemWal` | `LanceDbTableRTE` | | `table/memwal_stats.rs` | `table/rte_stats.rs` | Docs and comments now say "realtime engine (RTE)". Text about Lance's underlying mechanism keeps "MemWAL" ("Lance's MemWAL", "MemWAL index"). **Left alone:** Lance-owned names (`MemWalIndexDetails`, `DatasetMemWalExt`, `InitializeMemWal*`, `mem_wal` paths), internal `Lsm*` names and modules, and the `does not support with_row_id` refusal text that the hybrid fallback matches on. ## Compatibility Breaking, for an experimental API. The wire format changes, so this must roll out together with the matching sophon change (lancedb/sophon#8870): - Routes: `/enable_memwal/` → `/enable_rte/`, `/disable_memwal/` → `/disable_rte/`, `/get_memwal_spec/` → `/get_rte_spec/`, `/get_memwal_stats/` → `/get_rte_stats/`, `/flush_memwal/` → `/flush_rte/`, `/compact_memwal/` → `/compact_rte/` - Response keys: `memwal_spec` → `rte_spec`, `memwal_stats` → `rte_stats` - Request field: `use_memwal` → `use_rte` on query and merge-insert bodies The SQL keyword becomes `ALTER TABLE ... SET RTE` server-side. The guides under `docs/web` will be updated separately. ## Validation - Rust: `cargo clippy --features remote --tests --examples` clean; `cargo test --features remote -p lancedb --lib`: 1533 passed - Java: `mvn test`: 37 passed (Spotless applied with JDK 11) - Python: `ruff format` / `ruff check` clean; targeted tests (`test_rte_spec`, `test_merge_insert_lsm`, `test_remote_db`, `test_wal_hybrid`, `test_query`, `test_permutation`, `test_table`): 708 passed - TypeScript: `pnpm build`; `table`, `query` tests: 606 passed; `biome check` clean; `docs/src/js` regenerated with `pnpm run docs` 🤖 Generated with [Claude Code](https://claude.com/claude-code) --------- Co-authored-by: Claude Opus 5.5 (1M context) <noreply@anthropic.com>
The Multimodal Lakehouse for AI
How to Install ✦ Detailed Documentation ✦ Tutorials and Recipes ✦ Contributors
The ultimate multimodal data platform for AI/ML applications.
LanceDB is designed for fast, scalable, and production-ready vector search. It is built on top of the Lance columnar format. You can store, index, and search over petabytes of multimodal data and vectors with ease. LanceDB is a central location where developers can build, train and analyze their AI workloads.
Demo: Multimodal Search by Keyword, Vector or with SQL
Star LanceDB to get updates!
⭐ Click here ⭐ to see how fast we're growing!
Key Features:
- Fast Vector Search: Search billions of vectors in milliseconds with state-of-the-art indexing.
- Comprehensive Search: Support for vector similarity search, full-text search and SQL.
- Multimodal Support: Store, query and filter vectors, metadata and multimodal data (text, images, videos, point clouds, and more).
- Advanced Features: Zero-copy, automatic versioning, manage versions of your data without needing extra infrastructure. GPU support in building vector index.
Products:
- Open Source & Local: 100% open source, runs locally or in your cloud. No vendor lock-in.
- Cloud and Enterprise: Production-scale vector search with no servers to manage. Complete data sovereignty and security.
Ecosystem:
- Columnar Storage: Built on the Lance columnar format for efficient storage and analytics.
- Seamless Integration: Python, Node.js, Rust, and REST APIs for easy integration. Native Python and Javascript/Typescript support.
- Rich Ecosystem: Integrations with LangChain 🦜️🔗, LlamaIndex 🦙, Apache-Arrow, Pandas, Polars, DuckDB and more on the way.
How to Install:
Follow the Quickstart doc to set up LanceDB locally.
API & SDK: We also support Python, Typescript and Rust SDKs
| Interface | Documentation |
|---|---|
| Python SDK | https://lancedb.github.io/lancedb/python/python/ |
| Typescript SDK | https://lancedb.github.io/lancedb/js/globals/ |
| Rust SDK | https://docs.rs/lancedb/latest/lancedb/index.html |
| REST API | https://docs.lancedb.com/api-reference/rest |
Join Us and Contribute
We welcome contributions from everyone! Whether you're a developer, researcher, or just someone who wants to help out.
If you have any suggestions or feature requests, please feel free to open an issue on GitHub or discuss it on our Discord server.
Check out the GitHub Issues if you would like to work on the features that are planned for the future. If you have any suggestions or feature requests, please feel free to open an issue on GitHub.
Contributors
Stay in Touch With Us