3 posts tagged with "cli"

Announcing the release of Spice v1.0-rc.5 🛠️

Spice v1.0.0-rc.5 is the fifth release candidate for the first major version of Spice.ai OSS. This release focuses production readiness and critical bug fixes. In addition, a new DynamoDB data connector has been added along with automatic detection for GPU acceleration when running Spice using the CLI.

Highlights in v1.0-rc.5​

• Automatic GPU Acceleration Detection: Automatically detect and utilize GPU acceleration when running by CLI. Install AI components locally using the CLI command spice install ai. Currently supports NVIdia CUDA and Apple Metal (M-series).

• DynamoDB Data Connector: Query AWS DynamoDB tables using SQL with the new DynamoDB Data Connector.

datasets:
  - from: dynamodb:users
    name: users
    params:
      dynamodb_aws_region: us-west-2
      dynamodb_aws_access_key_id: ${secrets:aws_access_key_id}
      dynamodb_aws_secret_access_key: ${secrets:aws_secret_access_key}
    acceleration:
      enabled: true

sql> describe users;
+----------------+-----------+-------------+
| column_name    | data_type | is_nullable |
+----------------+-----------+-------------+
| created_at     | Utf8      | YES         |
| date_of_birth  | Utf8      | YES         |
| email          | Utf8      | YES         |
| account_status | Utf8      | YES         |
| updated_at     | Utf8      | YES         |
| full_name      | Utf8      | YES         |
| ...                                      |
+----------------+-----------+-------------+

• File Data Connector: Graduated to Stable.

• Dremio Data Connector: Graduated to Release Candidate (RC).

• Spice.ai, Spark, and Snowflake Data Connectors: Graduated to Beta.

Announcing the release of Spice v0.18.3-beta 🛠️

The Spice v0.18.3-beta release includes several quality-of-life improvements including verbosity flags for spiced and the Spice CLI, vector search over larger documents with support for chunking dataset embeddings, and multiple performance enhancements. Additionally, the release includes several bug fixes, dependency updates, and optimizations, including updated table providers and significantly improved GitHub data connector performance for issues and pull requests.

Highlights in v0.18.3-beta​

GitHub Query Mode: A new github_query_mode: search parameter has been added to the GitHub Data Connector, which uses the GitHub Search API to enable faster and more efficient query of issues and pull requests when using filters.

Example spicepod.yml:

- from: github:github.com/spiceai/spiceai/issues/trunk
  name: spiceai.issues
  params:
    github_query_mode: search # Use GitHub Search API
    github_token: ${secrets:GITHUB_TOKEN}

Output Verbosity: Higher verbosity output levels can be specified through flags for both spiced and the Spice CLI.

Example command line:

spice -v
spice --very-verbose

spiced -vv
spiced --verbose

Embedding Chunking: Chunking can be enabled and configured to preprocess input data before generating dataset embeddings. This improves the relevance and precision for larger pieces of content.

Example spicepod.yml:

- name: support_tickets
  embeddings:
    - column: conversation_history
      use: openai_embeddings
      chunking:
        enabled: true
        target_chunk_size: 128
        overlap_size: 16
        trim_whitespace: true

For details, see the Search Documentation.

Announcing the release of Spice v0.18.1-beta. 🏎️

The v0.18.1-beta release continues to improve runtime performance and reliability. Performance for accelerated queries joining multiple datasets has been significantly improved with join push-down support. GraphQL, MySQL, and SharePoint data connectors have better reliability and error handling, and a new Microsoft SQL Server data connector has been introduced. Task History now has fine-grained configuration, including the ability to disable the feature entirely. A new spice search CLI command has been added, enabling development-time embeddings-based searches across datasets.

Highlights in v0.18.1-beta​

Join push-down for accelerations: Queries to the same accelerator will now push-down joins, significantly improving acceleration performance for queries joining multiple tables.

Microsoft SQL Server Data Connector: Use from: mssql: to access and accelerate Microsoft SQL Server datasets.

Example spicepod.yml:

datasets:
  - from: mssql:path.to.my_dataset
    name: my_dataset
    params:
      mssql_connection_string: ${secrets:mssql_connection_string}

See the Microsoft SQL Server Data Connector documentation.

Task History: Task History can be configured in the spicepod.yml, including the ability to include, or truncate outputs such as the results of a SQL query.

Example spicepod.yml:

runtime:
  task_history:
    enabled: true
    captured_output: truncated
    retention_period: 8h
    retention_check_interval: 15m

See the Task History Spicepod reference for more information on possible values and behaviors.

Search CLI Command Use the spice search CLI command to perform embeddings-based searches across search configure datasets. Note: Search requires the ai feature to be installed.

Refresh on File Changes: File Data Connector data refreshes can be configured to be triggered when the source file is modified through a file system watcher. Enable the watcher by adding file_watcher: enabled to the acceleration parameters.

Example spicepod.yml:

datasets:
  - from: file://path/to/my_file.csv
    name: my_file
    acceleration:
      enabled: true
      refresh_mode: full
      params:
        file_watcher: enabled