7 posts tagged with "github"

Happy New Year 🎆!

Announcing the release of Spice v1.0-rc.4 🌟

Spice v1.0.0-rc.4 is the fourth release candidate for the first major version of Spice.ai OSS. This release continues the focus on production readiness. In addition, xAI has been added as a model provider.

Highlights in v1.0-rc.4​

• xAI Model Provider: Adds support for xAI hosted models.

models:
  - from: xai:grok2-latest
    name: xai
    params:
      xai_api_key: ${secrets:SPICE_XAI_API_KEY}

• Spicepod Spec Version: Spicepod spec version v1 is now by default. v1beta1 will continue to work.

version: v1
kind: Spicepod
name: my_pod

• GitHub Data Connector: Graduated to Stable.

• PostgreSQL Data Accelerator: Graduated to Release Candidate (RC).

Announcing the release of Spice v0.20-beta 🧩

Spice v0.20.0-beta improves federated query performance with column pruning and adds support for Metal (Apple Silicon) and CUDA (NVidia) accelerators. The S3, PostgreSQL, MySQL, and GitHub Data Connectors have graduated from Beta to Release Candidates. The Arrow, DuckDB, and SQLite Data Accelerators have graduated from Alpha to Beta.

Highlights in v0.20.0-beta​

Data Connectors: The S3, PostgreSQL, MySQL, and GitHub Data Connectors have graduated from beta to release candidate.

Data Accelerators: The Arrow, DuckDB, and SQLite Data Accelerators have graduated from alpha to beta.

Metal and CUDA Support: Added support for Metal (Apple Silicon) and CUDA (NVidia) for AI/ML workloads including embeddings and local LLM inference.

For instructions on compiling a Meta or CUDA binary, see the Installation Docs.

Announcing the release of Spice v0.19.3-beta 📈

Spice v0.19.3-beta improves the performance and stability of data connectors and accelerators, including faster queries across multiple federated sources by optimizing how filters are applied. Anthropic has also been added as a LLM model provider.

Highlights in v0.19.3​

DataFusion Fixes: Resolved bugs in DataFusion and DataFusion Table Providers, expanding TPC-DS coverage and correctness.

GitHub Data Connector Beta Milestone: The GitHub Data Connector has graduated to Beta after extensive testing, stability, and performance improvements.

Anthropic Models Provider: Anthropic has been added as an LLM provider, including support for streaming.

Example spicepod.yml:

models:
  - from: anthropic:claude-3-5-sonnet-20240620
    name: claude_3_5_sonnet
    params:
      anthropic_api_key: ${ secrets:SPICE_ANTHROPIC_API_KEY }

Announcing the release of Spice v0.19.1-beta 🔥

Spice v0.19.1 brings further performance and stability improvements to data connectors, including improved query push-down for file-based connectors (s3, abfs, file, ftp, sftp) that use Hive-style partitioning.

Highlights in v0.19.1​

TPC-H and TPC-DS Coverage: Expanded coverage for TPC-H and TPC-DS benchmarking suites across accelerators and connectors.

GitHub Connector Array Filter: The GitHub connector now supports filter push down for the array_contains function in SQL queries using search query mode.

NSQL CLI Command: A new spice nsql CLI command has been added to easily query datasets with natural language from the command line.

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.