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March 2025

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Enhanced Full-Text Search and Advanced Query Debugging Features

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Features

  • Enhanced Full-Text Search (FTS): Fuzzy Search & Boosting Now Available: it improves user experience with resilient, typo-tolerant searches and can surface the most contextually relevant results faster.
  • New SDK APIs:
    • explain_plan: Diagnose query performance and debug unexpected results by inspecting the execution plan.
    • analyze_plan: Analyze query execution metrics to optimize performance and resource usage. Such metrics include execution time, number of rows processed, I/O stats, and more.
    • restore: Revert to a specific prior version of your dataset and modify it from a verified, stable state.
  • Scalar Indexing for Extended Data Types: LanceDB now supports scalar indexing on UUID columns of FixedSizeBinary type.
  • Binary vector support in TypeScript SDK: LanceDB’s TypeScript SDK now natively supports binary vector indexing and querying with production-grade efficiency.
  • Support S3-compatible object store: Extended LanceDB Enterprise deployment to work with S3-compatible object stores, such as Tigris, Minio and etc. enterprise

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Bug fix

  • Improved Merge insert performance: Enhanced the merge-insert operation to reduce error rates during upsert operations, improving data reliability.[lance#3603].
  • Batch Ingestion Error: Updated error codes for batch ingestion failures from 500 to 409 to accurately reflect resource conflict scenarios.
  • Cloud Signup Workflow Fix: Resolved an issue where users encountered a blank page after organization creation during the Cloud signup process.
  • Table Preview Data Display Issue: Fixed a bug causing the table preview page to show a generic “Something went wrong” error for datasets containing datetime columns, which previously prevented data inspection.
  • Rate Limit Error Clarity: Added explicit error messaging for system rate limits (e.g., API keys per table), replacing vague notifications that confused users.
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March 2025

​
Enhanced Full-Text Search and Advanced Query Debugging Features

​
Features

  • Enhanced Full-Text Search (FTS): Fuzzy Search & Boosting Now Available: it improves user experience with resilient, typo-tolerant searches and can surface the most contextually relevant results faster.
  • New SDK APIs:
    • explain_plan: Diagnose query performance and debug unexpected results by inspecting the execution plan.
    • analyze_plan: Analyze query execution metrics to optimize performance and resource usage. Such metrics include execution time, number of rows processed, I/O stats, and more.
    • restore: Revert to a specific prior version of your dataset and modify it from a verified, stable state.
  • Scalar Indexing for Extended Data Types: LanceDB now supports scalar indexing on UUID columns of FixedSizeBinary type.
  • Binary vector support in TypeScript SDK: LanceDB’s TypeScript SDK now natively supports binary vector indexing and querying with production-grade efficiency.
  • Support S3-compatible object store: Extended LanceDB Enterprise deployment to work with S3-compatible object stores, such as Tigris, Minio and etc. enterprise

​
Bug fix

  • Improved Merge insert performance: Enhanced the merge-insert operation to reduce error rates during upsert operations, improving data reliability.[lance#3603].
  • Batch Ingestion Error: Updated error codes for batch ingestion failures from 500 to 409 to accurately reflect resource conflict scenarios.
  • Cloud Signup Workflow Fix: Resolved an issue where users encountered a blank page after organization creation during the Cloud signup process.
  • Table Preview Data Display Issue: Fixed a bug causing the table preview page to show a generic “Something went wrong” error for datasets containing datetime columns, which previously prevented data inspection.
  • Rate Limit Error Clarity: Added explicit error messaging for system rate limits (e.g., API keys per table), replacing vague notifications that confused users.
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February 2025

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Multivector Search ready and Table data preview available in Cloud UI

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Features

  • Multivector Search is now live: documents can be stored as contextualized vector lists. Fast multi-vector queries are supported at scale, powered by our XTR optimization.
  • Drop_index added to SDK: users can remove unused or outdated indexes from your tables.
  • Explore Your Data at a Glance: preview sample data from any table with a single click. lancedb-cloud
  • Search by Project/Table in Cloud UI: allow users to quickly locate the desired project/table.lancedb-cloud

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Bug fix

  • FTS stability fix: Resolved a crash in Full Text Search (FTS) during flat-mode searches.
  • prefilter parameter enforcement: Fixed a bug where the prefilter parameter was not honored in FTS queries.
  • Vector index bounds error: Addressed an out-of-bounds indexing issue during vector index creation.
  • distance_range() compatibility: Fixed errors when performing vector searches with distance_range() on unindexed rows.
  • Error messaging improvements: Replaced generic HTTP 500 errors with detailed, actionable error messages for easier debugging.
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January 2025

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Support Hamming Distance and GPU based indexing ready

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Features

  • Support Hamming distance and binary vector: Added hamming as a distance metric (joining l2, cosine, dot) for binary vector similarity search.
  • GPU-Accelerated IVF-PQ indexing: Build IVF-PQ indexes 10x faster. enterprise
  • AWS Graviton 4 & Google Axion build optimizations: ARM64 SIMD acceleration cuts query costs. enterprise
  • float16 Vector Index Supports: reduce storage size while maintaining search quality.
  • Self-Serve Cloud Onboarding: new workflow-based UI guides users for smooth experience. lancedb-cloud

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Bug fix

  • list_indices and index_stats now always fetch the latest version of the table by default unless a specific version is explicitly provided.
  • Error message fix: Improved clarity for cases where create_index is called to create a vector index on tables with fewer than 256 rows.
  • TypeScript SDK fixes: Resolved an issue where 1createTable()failed to correctly save embeddings and formergeInsert` not utilizing saved embeddings. lancedb#2065
  • Multi-vector schema inference: Addressed an issue where the vector column could not be inferred for multi-vector indexes. lancedb#2026
  • Hybrid search consistency: Fixed a discrepancy where hybrid search returned distance values inconsistent with standalone vector search. lancedb#2061
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December 2024

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Features

  • Run SQL with massive datasets: added Apache Arrow flight-SQL protocol to run SQL queries with billions of data and return in seconds. enterprise.
  • Accelerate vector search: added our Quantinized-IVF algorithm and other optimization techniques to improve QPS/core. enterprise
  • Azure Stack Router Deployment: route traffic efficiently to serve low query latency. enterprise
  • Distance range filtering. filter query results using distance_range() to return search results with a lowerbound, upperbound or a range [lance#3326].
  • Full-Text Search(FTS) indexing options: configure tokenizers, stopword lists and more at FTS index creation.

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Bug fix

  • Full-text search parameters: Fixed an issue where full-text search index configurations were not applied correctly. lancedb#1928
  • Float16 vector queries: Addressed a bug preventing the use of lists of Float16 values in vector queries. lancedb#1931
  • Versioned checkout API: Resolved inconsistencies in the checkout method when specifying the version parameter. lancedb#1988
  • Table recreation error: Fixed an issue where dropping and recreating a table with the same name resulted in a table creation error.