> ## Documentation Index
> Fetch the complete documentation index at: https://docs.cyborg.co/llms.txt
> Use this file to discover all available pages before exploring further.
# CyborgDB Release Notes
CyborgDB follows a bi-monthly release cadence, with new features, enhancements, and bug fixes released every even month (Feb, Apr, etc). This changelog provides a summary of the changes in each release.
## CyborgDB v0.16.1
### Behavior Changes
* `query()` now returns only `id` fields by default when `include` is not specified
* Previously defaulted to `["distance", "metadata"]`; new default is `[]`
* Pass `include=["distance", "metadata"]` explicitly to retain the prior behavior
* Applies to both the embedded library and the REST service (`QueryRequest`, `BatchQueryRequest`, and `BinaryQueryRequest` all default `include` to `[]`)
* **Breaking change for REST API clients**: requests without an explicit `include` field will no longer receive `distance` or `metadata` in the response
### Bug Fixes
* Fixed an S3 backing store bug to properly support S3 versioned objects
* Fixed a distance computation bug affecting query result ordering
* Fixed an arm64 Linux issue where `cyborgdb-core` could fail to load runtime dependencies
* query() now returns vector IDs by default
### Improvements
* CUDA wheels now statically link CUDA runtime dependencies for improved portability
## CyborgDB v0.16.0
### Deployment Model
* Embedded Library (Python & C++)
* REST API (Microservice via Python or Docker)
* Client SDK (Python, JavaScript, TypeScript & Go)
### New Features
* CyborgDB now supports **Amazon S3** as a backing store for encrypted indexes
* Configure via `CYBORGDB_DB_TYPE=s3` with an S3 connection string
* Compatible with AWS S3, MinIO, and any S3-compatible object storage
* **CyborgDB Migrate**: New tool for migrating vector embeddings from other databases into CyborgDB
* Supports Pinecone, Qdrant, Weaviate, ChromaDB, and Milvus as sources
* Interactive TUI wizard or headless TOML-based config for CI/CD pipelines
* Install via `pip install cyborgdb-migrate`
* IVFSQ default scalar quantization bits increased from 8 to 16 for improved recall accuracy
### Improvements & Bug Fixes
* Stability improvements and bug fixes across all components
* Ingest errors now properly propagate to callers instead of being silently swallowed
* Improved serialization support for all backing store types
* New API contract test suite for guaranteed interface stability
* Expanded E2E test coverage across all SDK languages and backing stores
## CyborgDB v0.15.0
### Deployment Model
* Embedded Library (Python & C++)
* REST API (Microservice via Python or Docker)
* Client SDK (Python, JavaScript, TypeScript & Go)
### New Features
* Significant performance optimizations for all index types
* Added new `IVFSQ` index type and replace `IVFFlat` as the default
* Deprecated IVF index type
* Added standalone support for on-device encrypted indexes without external database dependencies
* Added support for binary upsert and query vectors for faster data transfer and reduced memory usage
* New `/training-status` endpoint in REST API for monitoring index training progress and status
* Improved error handling and logging across all components
## CyborgDB v0.14.0
### Deployment Model
* Embedded Library (Python & C++)
* REST API (Microservice via Python or Docker)
* Client SDK (Python, JavaScript, TypeScript & Go)
### New Features
* Significant performance optimizations for `cyborgdb-core`:
* Reduced single-query (unbatched) latency by 75%
* Introduced `standalone` database mode for quick evaluation and testing:
* Automatically enabled when no external database is configured
* Useful for rapid prototyping and development without infrastructure overhead
* Not recommended for production use - use PostgreSQL or Redis for production deployments
* Improved type definitions for TypeScript SDK
## CyborgDB v0.13.1
### Bug Fixes
* Fixed an issue where `cyborgdb-core` would fail to find runtime dependencies on certain Linux arm64 systems
* Exposed demo API key creation on Go and TypeScript SDKs
## CyborgDB v0.13.0
### Deployment Model
* Embedded Library (Python & C++)
* REST API (Microservice via Python or Docker)
* Client SDK (Python, JavaScript, TypeScript & Go)
### New Features
* Merged `cyborgdb-lite` functionality into `cyborgdb-core`:
* `cyborgdb-lite` package has been deprecated and removed
* All features previously available in `cyborgdb-lite` are now included in `cyborgdb-core`
* Simplified package structure with a single unified library for embedded use
* CyborgDB Service now supports CUDA with `pip install cyborgdb-service[cuda]`:
* Enables existing `cyborgdb-core` CUDA optimizations in the REST API microservice
* Deprecated support for Python 3.9 due to EOL for:
* `cyborgdb-core`
* `cyborgdb-service`
* `cyborgdb-py`
## CyborgDB v0.12.0
### Deployment Model
* Embedded Library (Python & C++)
* REST API (Microservice via Python or Docker)
* Client SDK (Python, JavaScript, TypeScript & Go)
### New Features
* Go Client SDK now available:
* [`go get github.com/cyborginc/cyborgdb-go`](https://pkg.go.dev/github.com/cyborginc/cyborgdb-go)
* Automatic index management enabled by default in CyborgDB Service:
* Simplifies setup and reduces manual configuration
* `IndexConfig` classes now optional - CyborgDB can auto-configure indexes on the fly based on data & usage characteristics
* Training & retraining now handled automatically, optimizing index performance without manual intervention
* Queries can now automatically determine the optimal number of clusters to search
* LangChain integration now available for Python Client SDK
## CyborgDB v0.11.0
### Deployment Model
* Embedded Library (Python & C++)
* REST API (Microservice via Python or Docker)
* Client SDK (Python, JavaScript & TypeScript)
### New Features
* CyborgDB is now available as a **REST API** microservice
* Available as a Python package ([`cyborgdb-service`](https://pypi.org/project/cyborgdb-service/))
* Available as a Docker image ([`cyborginc/cyborgdb-service`](https://hub.docker.com/r/cyborginc/cyborgdb-service))
* CyborgDB Client SDKs now available for REST API microservice
* Python ([`cyborgdb`](https://pypi.org/project/cyborgdb/))
* JavaScript ([`cyborgdb`](https://www.npmjs.com/package/cyborgdb))
* TypeScript ([`cyborgdb`](https://www.npmjs.com/package/cyborgdb))
* Introduced API key management and a new Admin Dashboard for enhanced operational control
* Optimized concurrency handling using opportunistic mutexes to improve performance under load
* Improved Docker container reliability and stability across deployment environments
## CyborgDB v0.10.0
### Deployment Model
* Embedded Library (Python & C++)
* REST API (Microservice via Python or Docker - *early access*)
* Client SDK (Python, JavaScript & TypeScript - *early access*)
### New Features
* CyborgDB REST API service in **early access**
* CyborgDB Client SDKs in **early access**
* Python
* JavaScript
* TypeScript
* [LangChain integration for CyborgDB](/versions/v0.10.x/guides/integrations/langchain) now available
* Install via `pip install cyborgdb-core[langchain]`
* Use via `from cyborgdb_core.integrations.langchain import CyborgVectorStore`
* Supports both `cyborgdb-core` and `cyborgdb-lite`
* Added configurable logging utility for embedded library in [C++](/versions/v0.10.x/api-reference/cpp/client/logger) and [Python](/versions/v0.10.x/api-reference/python/client/logger)
## CyborgDB v0.9.2
### New Features
* `cyborgdb_lite` is now available for **evaluation** and **non-commercial use** on [PyPI](https://pypi.org/project/cyborgdb-lite/)
## CyborgDB v0.9.1
### Bug Fixes
* Fixed a bug where [automatic embedding generation](/versions/v0.9.x/guides/encrypted-indexes/create-index#automatic-embedding-generation) would not load the model correctly when using [`load_index()`](/versions/v0.9.x/guides/encrypted-indexes/load-index)
* Fixed a bug which caused intermittent [`query()`](/versions/v0.9.x/guides/data-operations/query) recall issues on Linux
* Fixed incorrect type returns for [`get()`](/versions/v0.9.x/guides/data-operations/get-items) in C++ and Python APIs
### Improvements
* Enabled pre-filtering on [metadata queries](/versions/v0.9.x/guides/data-operations/metadata-filtering) to improve performance
* Added annotations and IDE auto-completion for the Python API
* Expanded support to Python 3.9 - 3.13
## CyborgDB v0.9.0
This release renamed Cyborg Vector Search to **CyborgDB**.
**Deployment Model**: Embedded Library (Python & C++)
### New Features
* Added support for **metadata fields & query filtering**
* Metadata fields can be added to items during [`upsert()`](/versions/v0.9.x/guides/data-operations/add-items#adding-items-with-metadata) calls
* [`query()`](/versions/v0.9.x/guides/data-operations/metadata-filtering) calls can filter results based on metadata fields
* Added support for **item deletion**
* [`delete()`](/versions/v0.9.x/guides/data-operations/delete-items) calls can remove items from the encrypted index
* [`upsert()`](/versions/v0.9.x/guides/data-operations/add-items) conflicts are now resolved by overwriting existing items
* Added support for **automatic embedding generation**
* An embedding model can be specified during [index creation](/versions/v0.9.x/guides/encrypted-indexes/create-index#automatic-embedding-generation)
* [`upsert()`](/versions/v0.9.x/guides/data-operations/add-items#automatic-embedding-generation) calls can generate embeddings directly from index contents
* [`query()`](/versions/v0.9.x/guides/data-operations/query#automatic-embedding-generation) calls can use the model to generate embeddings for query vectors
### Breaking Changes
* IDs are now `string`-type (instead of `int`)
* This impacts `upsert()`, `get()` and `query()` function signatures
* `get_item()` and `get_items()` have been replaced by [`get()`](/versions/v0.9.x/guides/data-operations/get-items)
## Cyborg Vector Search v0.8.0
**Deployment Model**: Embedded Library (Python & C++)
### New Features
* Added support for **encrypted item storage & retrieval**
* Encrypted indexes can now handle item content storage
* [`upsert()`](/versions/v0.8.x/guides/data-operations/add-items) calls can take item content as bytes, encrypt and store them in the index
* [`get_item()`](/versions/v0.8.x/guides/data-operations/get-items) calls can retrieve encrypted item content and decrypt them
* Client-side caching now available for encrypted indexes (via [`max_cache_size`](/versions/v0.8.x/guides/encrypted-indexes/create-index#encrypted-index-caching) parameter)
* Client can now handle more than one index via multiple `EncryptedIndex` objects
* Optimizations:
* Full-pipeline GPU acceleration for encrypted indexes
* Optimized quantization and ranking logic
* Backing store batch operations for improved performance
### Breaking Changes
* Python & C++ APIs now split into two classes:
* [`Client`](/versions/v0.8.x/guides/encrypted-indexes/create-client) class now handles DB backend connection, index creation and loading
* [`EncryptedIndex`](/versions/v0.8.x/guides/encrypted-indexes/create-index) class now handles data operations (e.g., `upsert()`, `query()`, etc.)
## Cyborg Vector Search v0.7.0
**Deployment Model**: Embedded Library (Python & C++)
### New Features
* First *public* release of Cyborg Vector Search
* Python API available through PyBind11
* GPU acceleration with CUDA support