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Spice v2.0-rc.4 (Apr 30, 2026)

· 22 min read
William Croxson
William Croxson
Senior Software Engineer at Spice AI

Announcing the release of Spice v2.0-rc.4! 🚀

v2.0.0-rc.4 is the fourth release candidate for advanced testing of v2.0, building on v2.0.0-rc.3.

Highlights in this release candidate include:

  • Elasticsearch Data Connector (Alpha) with native hybrid search (BM25 full-text + kNN vector + RRF)
  • PostgreSQL Native CDC via WAL logical replication, eliminating the need for Debezium or Kafka
  • Multi-vector Embeddings with MaxSim for ColBERT-style late-interaction retrieval
  • Rerank UDTF for hybrid search pipelines with automatic query propagation
  • HashiCorp Vault and Azure Key Vault Secret Stores for enterprise secret management
  • DuckDB Vector Engine with HNSW index support
  • Azure Cosmos DB Connector (RC), Git Connector promoted to RC
  • MCP Streamable HTTP transport
  • Read-only API Key Enforcement on Flight DoGet and async query paths

What's New in v2.0.0-rc.4​

Elasticsearch Data Connector (Alpha, Spice.ai Enterprise)​

The new Elasticsearch data connector enables querying Elasticsearch indexes as SQL tables with full hybrid search support. Currently available in Spice.ai Enterprise.

Key capabilities:

  • SQL Table Access: Query any Elasticsearch index with standard SQL via a native DataFusion TableProvider.
  • kNN Vector Search: Use the vector_search() UDTF against Elasticsearch-backed vector fields.
  • BM25 Full-Text Search: Use the text_search() UDTF for native Elasticsearch full-text queries.
  • Hybrid Search: Combine kNN and BM25 results with the rrf() UDTF for reciprocal rank fusion.
  • Elasticsearch as a Vector Engine: Accelerated datasets can use Elasticsearch as the backing vector engine for embedding storage and retrieval.

Example configuration:

datasets:
  - from: elasticsearch:my_index
    name: my_data
    params:
      elasticsearch_endpoint: https://my-cluster.es.io:9200
      elasticsearch_username: ${secrets:es_user}
      elasticsearch_password: ${secrets:es_password}

PostgreSQL Native Replication via WAL​

Postgres datasets configured with refresh_mode: changes can now stream changes directly from PostgreSQL logical replication (WAL) into any local accelerator without Debezium or Kafka required.

Key capabilities:

  • Native Logical Replication: Uses pgoutput decoding to stream INSERT/UPDATE/DELETE events.
  • Automatic Slot Management: Each Spice replica creates a distinct replication slot (spice_<dataset>_<hash>), so multi-replica deployments work automatically. Publications are shared.
  • Bootstrap Snapshot: An initial REPEATABLE READ snapshot seeds the accelerator before replication begins.
  • LSN Acknowledgement: The LsnCommitter sends durable LSN back to Postgres so WAL segments are reclaimed.
  • All Accelerators Supported: Works with DuckDB, SQLite, Postgres, Cayenne, and Arrow accelerators.

Example configuration:

datasets:
  - from: postgres:my_table
    name: my_table
    params:
      pg_host: localhost
      pg_port: 5432
      pg_db: mydb
      pg_publication: my_publication   # optional; auto-created if omitted
    acceleration:
      enabled: true
      engine: duckdb
      refresh_mode: changes

Multi-vector Embeddings with MaxSim (Late Interaction)​

Column-level embeddings now support list-of-string columns, producing one embedding vector per list element and enabling ColBERT-style late-interaction retrieval.

Key capabilities:

  • Multi-vector per Row: Columns of type List<String> produce List<FixedSizeList<F32, D>> — one embedding per list element.
  • MaxSim / Mean / Sum Scoring: Per-row score is the max, mean, or sum cosine over the list elements. Default is MaxSim (ColBERT).
  • _match Column: Returns the specific list element that produced the highest cosine similarity.
  • No Schema Changes Required: Works with existing embedding configurations; activates automatically for list-type columns.

A new rerank() table-valued function reorders scored results from vector_search, text_search, or rrf by a reranker model's relevance judgements. See Search Functionality for an overview of search UDTFs.

Key capabilities:

  • Auto Query Propagation: The query string is automatically inherited from a nested search UDTF — no repetition required.
  • Any Chat Model as Reranker: Any registered chat/completion model can serve as a reranker via the built-in LlmRerank adapter (listwise prompt by default; pointwise available).
  • Filter and Projection Pushdown: The RerankExec physical node supports pushdown, reducing data movement.
  • Extensible: A new RerankerModelStore sits alongside ChatModelStore and EmbeddingModelStore; native providers (Cohere, Voyage, BGE) can be added without runtime plumbing changes.
SELECT * FROM rerank(
    rrf(vector_search('my_table', 'query text'), text_search('my_table', 'query text')),
    document => content
) LIMIT 10;

New Secret Stores: HashiCorp Vault and Azure Key Vault​

Two new enterprise-grade Secret Stores are now available.

HashiCorp Vault (hashicorp_vault):

  • KV v2 (default) and KV v1 mount support.
  • Auth methods: token, approle, kubernetes, jwt.
  • Token leases are cached and automatically re-acquired on expiry.
secrets:
  - from: hashicorp_vault:secret/my-app
    name: my_secrets
    params:
      hashicorp_vault_addr: https://vault.example.com
      hashicorp_vault_auth_method: approle
      hashicorp_vault_role_id: ${env:VAULT_ROLE_ID}
      hashicorp_vault_secret_id: ${secrets:vault_secret_id}

Azure Key Vault (azure_keyvault):

  • Per-key caching with single-flight fetch coalescing.
  • Auth methods: service principal, managed identity, workload identity, Azure CLI, or auto-detect.
  • Supports sovereign clouds via endpoint parameter.
secrets:
  - from: azure_keyvault:my-vault
    name: my_secrets
    params:
      azure_keyvault_auth_method: managed_identity

DuckDB Vector Engine​

DuckDB-accelerated tables can now use DuckDB's HNSW index for vector search via the vector_engine: duckdb option, enabling fast approximate nearest-neighbor search without an external vector store.

Example configuration:

datasets:
  - from: postgres:public.documents
    name: documents
    columns:
      - name: content
        embeddings:
          - from: hf_minilm
            row_id: id
    acceleration:
      enabled: true
      engine: duckdb
      mode: file
    vectors:
      enabled: true
      engine: duckdb
      params:
        duckdb_distance_metric: cosine
        duckdb_hnsw_m: 16
        duckdb_hnsw_ef_construction: 64
        duckdb_hnsw_ef_search: 32

embeddings:
  - from: huggingface:huggingface.co/minishlab/potion-base-2M
    name: hf_minilm

New and Promoted Connectors​

Azure Cosmos DB (Alpha):

A new read-only Azure Cosmos DB NoSQL / Core SQL API connector built on the azure_data_cosmos 0.30 SDK. Supports cross-partition scans, schema inference from document samples, and key-based auth (connection string or account endpoint + key).

Git Connector (RC):

The Git data connector is promoted to RC status with HTTPS/SSH auth (git_token, git_username/git_password, git_ssh_key), Git LFS support (enable_lfs), and per-repo connection resilience (semaphore, bounded retries with exponential backoff, permanent-error circuit breaking).

DynamoDB Write Support (DML)​

DynamoDB datasets now support write-back via INSERT, UPDATE, and DELETE operations, complementing the existing read and CDC streaming capabilities.

MCP Streamable HTTP Transport​

The MCP server has been upgraded to rmcp 1.5.0 and switched to the Streamable HTTP transport (/v1/mcp), replacing the previous SSE-based endpoint. The client-side transport is updated to StreamableHttpClientTransport.

Security Improvements​

Read-only API Key Enforcement: API keys with read-only scope are now strictly enforced on the Flight DoGet path and on async query endpoints, preventing write operations from being issued under a read-only key.

GitHub Workflow Hardening: CI workflows have been hardened with improved security posture to reduce supply-chain risk.

Developer Experience Improvements​

  • Actionable Config Errors: Parameter typos, missing secret references, and unknown engine names now produce specific, actionable error messages with Levenshtein-based suggestions, rather than silent drops or generic "missing required parameter" messages.
  • spice init Improvements: Written spicepods now include a yaml-language-server: $schema=... directive for IDE completions. Creation messages print regardless of log level.
  • REPL Improvements: Log filter honors RUST_LOG when -v is not passed; version banner moves to stderr and prints only on an interactive TTY.
  • 403 / 401 Routing: HTTP 403 responses route to a new PermissionDenied variant; 401 messages point at spice login / SPICE_API_KEY.

OpenTelemetry Improvements​

See Observability & Monitoring and the runtime.telemetry reference for full configuration details.

  • Metric Name Prefix: Configure a prefix for all exported OTLP metric names via runtime.telemetry.metric_prefix.
  • Delta Temporality Default: The OTLP push exporter now defaults to delta temporality, matching Prometheus and most backends.
  • Resource Attributes: runtime.telemetry.properties are applied as OTLP resource attributes on exported metrics.

Full-text Search Performance​

Tantivy full-text search ingestion performance is significantly improved with better batch handling and a rollback-on-error path.

SQL and Query Engine​

  • DataFusion Upgrade: Updated to a newer DataFusion revision with additional bug fixes and performance improvements.
  • Views on DDL Catalogs: DDL-defined catalogs (e.g., Unity Catalog) can now expose and query views.
  • flatten_json / json_tree / expand_maps UDTFs: New table-valued functions for JSON transformation, map expansion, and schema decomposition in query pipelines. See JSON Functions and Operators.
  • cosine_distance Pushdown to DuckDB: cosine_distance is now pushed down to DuckDB accelerators via array_cosine_distance.
  • Snowflake Type Support: Added support for OBJECT, MAP, GEOGRAPHY, GEOMETRY, VECTOR, and TIMESTAMP_LTZ types in the Snowflake connector.
  • MySQL Zero-Date Behavior: The MySQL connector adds a new mysql_zero_date_behavior parameter (null or error) controlling how MySQL zero-date values (0000-00-00) are handled.
  • Databricks Timeouts: The Databricks connector adds new connect_timeout and client_timeout parameters for sql_warehouse mode.

Dependency Updates​

Dependency / ComponentVersion / Update
DataFusionUpdated
rmcpv1.5.0 (from fork pin)
mistral.rsUpdated
openssl0.10.78

Contributors​

Breaking Changes​

No breaking changes.

Cookbook Updates​

No new cookbook recipes.

The Spice Cookbook includes 86 recipes to help you get started with Spice quickly and easily.

Upgrading​

To upgrade to v2.0.0-rc.4, use one of the following methods:

CLI:

spice upgrade v2.0.0-rc.4

Homebrew:

brew upgrade spiceai/spiceai/spice

Docker:

Pull the spiceai/spiceai:2.0.0-rc.4 image:

docker pull spiceai/spiceai:2.0.0-rc.4

For available tags, see DockerHub.

Helm:

helm repo update
helm upgrade spiceai spiceai/spiceai --version 2.0.0-rc.4

AWS Marketplace:

Spice is available in the AWS Marketplace.

What's Changed​

Changelog​

Full Changelog: https://github.com/spiceai/spiceai/compare/v2.0.0-rc.3...v2.0.0-rc.4

Spice v1.10.4 (Jan 5, 2026)

· 2 min read
Phillip LeBlanc
Phillip LeBlanc
Co-Founder and CTO of Spice AI

Announcing the release of Spice v1.10.4! 🛠️

v1.10.4 is a patch release with fixes for Kafka/Debezium batch commits, ABFSS URL support for Azure Data Lake Storage Gen2, and improved column projection handling for location metadata columns.

What's New in v1.10.4​

Additional Improvements & Bug Fixes​

  • Reliability: Fixed Kafka and Debezium batch commit handling to properly commit offsets across all partitions. Previously, only the last message's offset was committed, which could cause message loss when batches contained messages from multiple partitions.
  • Reliability: Added support for abfss:// URL prefix for Azure Data Lake Storage Gen2, in addition to the existing abfs:// prefix. The abfss scheme indicates secure (TLS) connections to ADLS Gen2.
  • Reliability: Fixed column projection order mismatch when querying datasets with location metadata columns (e.g., SELECT location, day, size FROM dataset). Queries that specified columns in a different order than the schema would fail with "column types must match schema types" errors.
  • Developer Experience: Added detailed diagnostic logging for union projection pushdown optimization failures in cluster mode. When projection pushdown cannot be applied, debug-level logs now provide additional context to help identify the root cause.

Contributors​

Breaking Changes​

No breaking changes.

Cookbook Updates​

No major cookbook updates.

The Spice Cookbook includes 84 recipes to help you get started with Spice quickly and easily.

Upgrading​

To upgrade to v1.10.4, use one of the following methods:

CLI:

spice upgrade

Homebrew:

brew upgrade spiceai/spiceai/spice

Docker:

Pull the spiceai/spiceai:1.10.4 image:

docker pull spiceai/spiceai:1.10.4

For available tags, see DockerHub.

Helm:

helm repo update
helm upgrade spiceai spiceai/spiceai

AWS Marketplace:

🎉 Spice is now available in the AWS Marketplace!

What's Changed​

Changelog​

Spice v1.10.3 (Dec 29, 2025)

· 2 min read
Phillip LeBlanc
Phillip LeBlanc
Co-Founder and CTO of Spice AI

Announcing the release of Spice v1.10.3! 🚀

v1.10.3 is a patch release with improved startup reliability, fixes for Azure BlobFS versioned containers, S3 custom endpoint query resolution, and a fix for the OpenAI Responses API.

What's New in v1.10.3​

Additional Improvements & Bug Fixes​

  • Reliability: Telemetry exporter initialization now runs asynchronously, preventing blocked startup in environments with network restrictions (e.g., Kubernetes with restrictive network policies).
  • Reliability: Fixed an issue where queries on Azure Blob containers with versioning enabled would fail with "Azure does not support suffix range requests" error in distributed query mode.
  • Reliability: Fixed S3 location-based queries against custom S3 endpoints (e.g., MinIO, LocalStack). Queries with location predicates on datasets using s3_endpoint and s3_region parameters now correctly route to the configured endpoint instead of defaulting to AWS S3.
  • Reliability: Fixed "project index out of bounds" errors in the query optimizer when union children have mismatched schemas. The optimizer now validates schema compatibility before applying projection pushdown.
  • Reliability: Fixed an issue where the OpenAI Responses API (/v1/responses) was not working correctly.

Contributors​

Breaking Changes​

No breaking changes.

Cookbook Updates​

No major cookbook updates.

The Spice Cookbook includes 84 recipes to help you get started with Spice quickly and easily.

Upgrading​

To upgrade to v1.10.3, use one of the following methods:

CLI:

spice upgrade

Homebrew:

brew upgrade spiceai/spiceai/spice

Docker:

Pull the spiceai/spiceai:1.10.3 image:

docker pull spiceai/spiceai:1.10.3

For available tags, see DockerHub.

Helm:

helm repo update
helm upgrade spiceai spiceai/spiceai

AWS Marketplace:

🎉 Spice is now available in the AWS Marketplace!

What's Changed​

Changelog​

Spice v1.0-rc.2 (Dec 16, 2024)

· 11 min read
William Croxson
William Croxson
Senior Software Engineer at Spice AI

Announcing the release of Spice v1.0-rc.2 🔗

Spice v1.0.0-rc.2 is the second release candidate for the first major version of Spice.ai OSS. This release continues to build on the stability of Spice for production use, including key Data Connector graduations, bug fixes, and AI features.

Highlights in v1.0-rc.2​

  • MS SQL and File Data Connectors: Graduated from Alpha to Beta.

  • GraphQL and Databricks Delta Lake Data Connectors: Graduated from Beta to Release Candidate.

  • gospice SDK Release: The Spice Go SDK has updated to v7.0, adding support for refreshing datasets and upgrading dependencies.

  • Azure AI Support: Added support for both LLMs and embedding models. Example spicepod.yml configuration:

embeddings:
  - name: azure
    from: azure:text-embedding-3-small
    params:
      endpoint: https://your-resource-name.openai.azure.com
      azure_api_version: 2024-08-01-preview
      azure_deployment_name: text-embedding-3-small
      azure_api_key: ${ secrets:SPICE_AZURE_API_KEY }
models:
  - name: azure
    from: azure:gpt-4o-mini
    params:
      endpoint: https://your-resource-name.openai.azure.com
      azure_api_version: 2024-08-01-preview
      azure_deployment_name: gpt-4o-mini
      azure_api_key: ${ secrets:SPICE_AZURE_TOKEN }

Accelerate subsets of columns: Spice now supports acceleration for specific columns from a federated source. Specify the desired columns directly in the Refresh SQL for more selective and efficient data acceleration.

Example spicepod.yaml configuration:

datasets:
  - from: s3://spiceai-demo-datasets/taxi_trips/2024/
    name: taxi_trips
    params:
      file_format: parquet
    acceleration:
      refresh_sql: SELECT tpep_pickup_datetime, tpep_dropoff_datetime, trip_distance, total_amount FROM taxi_trips

Breaking changes​

Sharepoint Authentication Parameters: now use access tokens instead of authorization codes, using the sharepoint_bearer_token parameter. The sharepoint_auth_code parameter has been removed.

Data Connector Delimiters: now support / and ://, in addition to : in the from parameter of the dataset configuration. The following examples are equivalent:

  • from: postgres://my_postgres_table
  • from: postgres/my_postgres_table
  • from: postgres:my_postgres_table

Some data connectors, such as s3 which only accepts ://, place further restrictions on the allowed delimiter.

The file data connector has changed how it interprets the :// delimiter to reflect how most other URL parsers work, i.e. file://my_file_path. Previously, the file path was interpreted as /my_file_path. Now, it is interpreted as a relative path, i.e. my_file_path.

Spice Search limit: is now applied to the final search result, instead of previously being applied separately to each dataset involved in a search before aggregation.

Dependencies​

  • Rust: Upgraded to 1.83

Contributors​

  • @phillipleblanc
  • @ewgenius
  • @Jeadie
  • @sgrebnov
  • @peasee
  • @Sevenannn
  • @Advayp

New Contributors​

What's Changed​

- Fix install scripts to handle the RC release by @phillipleblanc in <https://github.com/spiceai/spiceai/pull/3718>
- Update helm chart to v1.0.0-rc.1 by @ewgenius in <https://github.com/spiceai/spiceai/pull/3720>
- Update spicepod.schema.json by @github-actions in <https://github.com/spiceai/spiceai/pull/3719>
- Add logic to ignore task cancellations due to runtime shutdown by @phillipleblanc in <https://github.com/spiceai/spiceai/pull/3717>
- Update to next relese version v1.0.0-rc.2 by @ewgenius in <https://github.com/spiceai/spiceai/pull/3721>
- Handle parsing OTel KeyValues from the `baggage` header by @phillipleblanc in <https://github.com/spiceai/spiceai/pull/3722>
- Update `llms` dependencies: `mistralrs`, `async-openai` by @Jeadie in <https://github.com/spiceai/spiceai/pull/3725>
- Support `jsonl` for object store by @Jeadie in <https://github.com/spiceai/spiceai/pull/3726>
- Fix NSQL models integration tests for HF by @sgrebnov in <https://github.com/spiceai/spiceai/pull/3727>
- standardise 'csv_schema_infer_max_records' -> 'schema_infer_max_records'; include deprecation messages for dataset params by @Jeadie in <https://github.com/spiceai/spiceai/pull/3732>
- feat: Add script to generate TPC-H data for file connector by @peasee in <https://github.com/spiceai/spiceai/pull/3737>
- feat: Add file connector integration test by @peasee in <https://github.com/spiceai/spiceai/pull/3735>
- fix: Add explicit message for ODBC connector when not installed by @peasee in <https://github.com/spiceai/spiceai/pull/3736>
- Remove Box::leak in `create_accelerated_table` by @sgrebnov in <https://github.com/spiceai/spiceai/pull/3739>
- docs: Update enhancement and PR template by @peasee in <https://github.com/spiceai/spiceai/pull/3740>
- feat: add file connector benchmark by @peasee in <https://github.com/spiceai/spiceai/pull/3734>
- docs: Release file connector beta by @peasee in <https://github.com/spiceai/spiceai/pull/3738>
- For embeddings, use `sentence_*_config.json`, download HF async, use TEI functions by @Jeadie in <https://github.com/spiceai/spiceai/pull/3724>
- Optimize build & release workflow for trunk builds by @phillipleblanc in <https://github.com/spiceai/spiceai/pull/3741>
- Update benchmark snapshots by @github-actions in <https://github.com/spiceai/spiceai/pull/3752>
- Skip Spice cloud integration tests by @phillipleblanc in <https://github.com/spiceai/spiceai/pull/3755>
- Add `http_requests` metric and deprecate `http_requests_total` by @sgrebnov in <https://github.com/spiceai/spiceai/pull/3748>
- Update benchmark snapshots by @github-actions in <https://github.com/spiceai/spiceai/pull/3759>
- fix: Parquet file generation script by @peasee in <https://github.com/spiceai/spiceai/pull/3762>
- fix: Use InvalidConfiguration error for GraphQL query errors by @peasee in <https://github.com/spiceai/spiceai/pull/3763>
- Extend Spice Search integration and E2E tests to cover chunking by @sgrebnov in <https://github.com/spiceai/spiceai/pull/3750>
- test: Add GraphQL integration tests from external sources by @peasee in <https://github.com/spiceai/spiceai/pull/3756>
- docs: Release GraphQL release candidate by @peasee in <https://github.com/spiceai/spiceai/pull/3764>
- Accelerate a subset of columns from source dataset in Refresh SQL by @phillipleblanc in <https://github.com/spiceai/spiceai/pull/3765>
- Run TPCDS benchmark for databricks delta mode by @Sevenannn in <https://github.com/spiceai/spiceai/pull/3751>
- Update dependencies by @phillipleblanc in <https://github.com/spiceai/spiceai/pull/3747>
- Implement vector search benchmark initialization by @sgrebnov in <https://github.com/spiceai/spiceai/pull/3774>
- Implement InvalidTypeAction for PostgreSQL Data Connector by @phillipleblanc in <https://github.com/spiceai/spiceai/pull/3767>
- fix: Check ODBC parameters are positive integers by @peasee in <https://github.com/spiceai/spiceai/pull/3777>
- Fix Delta DataType `Map` type mapping to arrow type by @Sevenannn in <https://github.com/spiceai/spiceai/pull/3776>
- Update Databricks & Delta Lake Connector RC criteria by @Sevenannn in <https://github.com/spiceai/spiceai/pull/3778>
- Add a `/v1/packages/generate` API to generate a Spicepod package from a GitHub repo. by @phillipleblanc in <https://github.com/spiceai/spiceai/pull/3782>
- Set `Spice-Target-Source` header for `spice add` by @phillipleblanc in <https://github.com/spiceai/spiceai/pull/3783>
- Call v1 spicerack API by @phillipleblanc in <https://github.com/spiceai/spiceai/pull/3784>
- Run models integration tests on self-hosted macOS runners by @sgrebnov in <https://github.com/spiceai/spiceai/pull/3785>
- Fix OpenAI models integration tests by @sgrebnov in <https://github.com/spiceai/spiceai/pull/3786>
- Integration test for Databricks delta_lake mode by @Sevenannn in <https://github.com/spiceai/spiceai/pull/3779>
- Add `spice connect` for connecting to existing Spice.ai instances by @phillipleblanc in <https://github.com/spiceai/spiceai/pull/3790>
- Add `eval` spicepod component; basic HTTP api to run eval. by @Jeadie in <https://github.com/spiceai/spiceai/pull/3766>
- Release RC for databricks delta_lake mode by @Sevenannn in <https://github.com/spiceai/spiceai/pull/3792>
- Include Huggingface model to E2E models tests by @sgrebnov in <https://github.com/spiceai/spiceai/pull/3788>
- Enable `trace_id` & `parent_span_id` overrides for `v1/chat/completion` by @Jeadie in <https://github.com/spiceai/spiceai/pull/3791>
- Search benchmark: run search workload and measure result by @sgrebnov in <https://github.com/spiceai/spiceai/pull/3793>
- Search benchmark: measure search precision by @sgrebnov in <https://github.com/spiceai/spiceai/pull/3804>
- Use MinIO instead of S3 for benchmark tests by @Sevenannn in <https://github.com/spiceai/spiceai/pull/3794>
- Update benchmark snapshots by @github-actions in <https://github.com/spiceai/spiceai/pull/3814>
- Only verify TPCH / TPCDS official query results for DuckDB by @Sevenannn in <https://github.com/spiceai/spiceai/pull/3816>
- Fixes for the Debezium connector by @phillipleblanc in <https://github.com/spiceai/spiceai/pull/3819>
- Fix insert statement when all columns are constraint columns by @phillipleblanc in <https://github.com/spiceai/spiceai/pull/3820>
- docs: Move ODBC to Beta for current state of roadmap by @peasee in <https://github.com/spiceai/spiceai/pull/3823>
- Accept `:`, `/` or `://` as the delimiter for the data connector by @phillipleblanc in <https://github.com/spiceai/spiceai/pull/3821>
- Update dependencies by @phillipleblanc in <https://github.com/spiceai/spiceai/pull/3826>
- Enable `read_write` mode support for Postgres Data Connector by @sgrebnov in <https://github.com/spiceai/spiceai/pull/3813>
- feat: add Databricks ODBC TPCDS benchmark by @peasee in <https://github.com/spiceai/spiceai/pull/3825>
- Change `spice.ai` data connector dataset path format to `<org>/<app>/datasets/<table_reference>` by @phillipleblanc in <https://github.com/spiceai/spiceai/pull/3828>
- fix: enable tpcds explain snapshotting by @peasee in <https://github.com/spiceai/spiceai/pull/3830>
- Azure AI support for both LLMs & embedding models by @Jeadie in <https://github.com/spiceai/spiceai/pull/3824>
- Add Github Workflow to run Search Benchmark by @sgrebnov in <https://github.com/spiceai/spiceai/pull/3834>
- Fetch access token with Microsoft OAuth, and use access token to initiate Sharepoint data connector graph client by @Sevenannn in <https://github.com/spiceai/spiceai/pull/3836>
- Initialize accelerator for datasets dynamically included by @Sevenannn in <https://github.com/spiceai/spiceai/pull/3714>
- Update cargo.lock by @phillipleblanc in <https://github.com/spiceai/spiceai/pull/3838>
- feat: add MS SQL TPCH benchmark by @peasee in <https://github.com/spiceai/spiceai/pull/3833>
- Improve Azure AI models support by @sgrebnov in <https://github.com/spiceai/spiceai/pull/3835>
- Primary key support for Arrow's `Memtable` by @Jeadie in <https://github.com/spiceai/spiceai/pull/3829>
- Update Tokenizer to 0.21 and mistral.rs by @Jeadie in <https://github.com/spiceai/spiceai/pull/3839>
- Fix models integration tests by @sgrebnov in <https://github.com/spiceai/spiceai/pull/3843>
- Enable `spice login abfs` by @Sevenannn in <https://github.com/spiceai/spiceai/pull/3844>
- update `crates/llms` dependencies to 'spiceai' branch by @Jeadie in <https://github.com/spiceai/spiceai/pull/3846>
- Make eval runs non-blocking; `spice.eval.{results, runs}` tables. by @Jeadie in <https://github.com/spiceai/spiceai/pull/3780>
- fix: Update GraphQL snapshots by @peasee in <https://github.com/spiceai/spiceai/pull/3849>
- Update to Rust 1.83 by @phillipleblanc in <https://github.com/spiceai/spiceai/pull/3847>
- feat: add mssql integration test by @peasee in <https://github.com/spiceai/spiceai/pull/3848>
- Prepend user-specified user agent in flight repl by @phillipleblanc in <https://github.com/spiceai/spiceai/pull/3850>
- fix: trim CHAR in mssql by @peasee in <https://github.com/spiceai/spiceai/pull/3852>
- Fix column quoting for SpiceCloudPlatform dialect by @phillipleblanc in <https://github.com/spiceai/spiceai/pull/3857>
- Optimize builds by @phillipleblanc in <https://github.com/spiceai/spiceai/pull/3861>
- Endgame template: Add recently added AI/ML quickstarts and samples by @sgrebnov in <https://github.com/spiceai/spiceai/pull/3859>
- docs: Release MS SQL Beta by @peasee in <https://github.com/spiceai/spiceai/pull/3853>
- Fix nsql sampling for tables with embeddings by @sgrebnov in <https://github.com/spiceai/spiceai/pull/3860>
- Make GH workflows with spiceai-macos runners more stable by @sgrebnov in <https://github.com/spiceai/spiceai/pull/3863>
- fix: Remove GraphQL swapi test by @peasee in <https://github.com/spiceai/spiceai/pull/3867>
- create 1 `tokio::test` per test/model by @Jeadie in <https://github.com/spiceai/spiceai/pull/3696>
- handle `max_completion_tokens` vs `max_tokens` for openai vs azure by @Jeadie in <https://github.com/spiceai/spiceai/pull/3869>
- Search benchmark: write results to dataset by @sgrebnov in <https://github.com/spiceai/spiceai/pull/3871>
- Create `evalconverter` that creates spice eval components. by @Jeadie in <https://github.com/spiceai/spiceai/pull/3864>
- Update quickstart in README.md by @ewgenius in <https://github.com/spiceai/spiceai/pull/3876>
- Remove reference to spiceai-smart-demo from the repo home by @sgrebnov in <https://github.com/spiceai/spiceai/pull/3885>
- Trace `evals` accelerated tables updates in debug mode by @sgrebnov in <https://github.com/spiceai/spiceai/pull/3884>
- Clarify confusing log message by @Advayp in <https://github.com/spiceai/spiceai/pull/3862>
- Update spicepod.schema.json by @github-actions in <https://github.com/spiceai/spiceai/pull/3840>
- Azure OpenAI models: make `endpoint` parameter required by @sgrebnov in <https://github.com/spiceai/spiceai/pull/3883>
- Use spiceai delta kernel fork, actionable message for delta checkpoint errors by @Sevenannn in <https://github.com/spiceai/spiceai/pull/3856>
- Add support for GGUF files in HF by @Jeadie in <https://github.com/spiceai/spiceai/pull/3875>

**Full Changelog**: <https://github.com/spiceai/spiceai/compare/v1.0.0-rc.1...v1.0.0-rc.2>
```text

## Resources

- [Getting started with Spice.ai](https://docs.spiceai.org/getting-started/)
- [Documentation](https://docs.spiceai.org/)

## Community

Spice.ai started with the vision to make AI easy for developers. We are building Spice.ai in the open and with the community. Reach out on Slack or by email to get involved.

- Twitter: [@spice_ai](https://twitter.com/spice_ai)
- Slack: [spiceai.org/slack](https://spiceai.org/slack)
- Telegram: [Spice AI Discussion](https://t.me/spiceaichat)
- Reddit: [https://www.reddit.com/r/spiceai](https://www.reddit.com/r/spiceai)
- Email: [[email protected]](mailto:[email protected])