Add RAG as a feature release tag (#68)

* add RAG as a feature release tag

* remove onnx

* remove from release

* rename to embed

* only use embedding

Author: reluctanthero104

.github/workflows/release.yml

@@ -145,14 +145,14 @@ jobs:
             suffix: ""
             platform: linux/arm64
             runner: ubuntu-24.04-arm
-          - variant: onnx
-            features: "onnx"
-            suffix: "-onnx"
+          - variant: embedding
+            features: "embedding"
+            suffix: "-embedding"
             platform: linux/amd64
             runner: ubuntu-latest
-          - variant: onnx
-            features: "onnx"
-            suffix: "-onnx"
+          - variant: embedding
+            features: "embedding"
+            suffix: "-embedding"
             platform: linux/arm64
             runner: ubuntu-24.04-arm
     steps:
@@ -215,8 +215,8 @@ jobs:
         include:
           - variant: default
             suffix: ""
-          - variant: onnx
-            suffix: "-onnx"
+          - variant: embedding
+            suffix: "-embedding"
     steps:
       - name: Log in to GitHub Container Registry
         uses: docker/login-action@v3

README.md

@@ -35,7 +35,7 @@ Skardi runs federated SQL across files, databases, object stores, and vector sto
 - **Automatic parameter inference** — Request parameters, types, and response schemas are inferred from your SQL
 - **Multi-source federation** — JOIN across CSV, Parquet, PostgreSQL, MySQL, SQLite, MongoDB, Redis, Iceberg, and Lance in a single query
 - **Full CRUD** — SELECT, INSERT, UPDATE, and DELETE operations on supported databases
-- **Vector search** — Native KNN similarity search via Lance integration
+- **Vector search** — Native KNN similarity search via Lance integration, or via PG vector.
 - **Full-text search** — BM25-scored full-text search via Lance inverted indexes
 - **S3 support** — Read CSV, Parquet, and Lance files directly from S3
 - **Docker ready** — Ship as a container with your config files mounted at runtime

crates/server/Cargo.toml

@@ -11,6 +11,7 @@ path = "src/main.rs"
 default = []
 candle = ["skardi/candle"]
 onnx = ["skardi/onnx"]
+embedding = ["skardi/embedding"]
 remote-embed = ["skardi/remote-embed"]
 gguf = ["skardi/gguf"]
 

crates/skardi/Cargo.toml

@@ -16,6 +16,7 @@ rustdoc-args = ["--cfg", "docsrs"]
 [features]
 default = []
 onnx = ["dep:ort", "dep:ndarray", "dep:num_cpus"]
+embedding = ["onnx", "candle", "gguf", "remote-embed"]
 remote-embed = ["dep:reqwest"]
 gguf = ["dep:llama-cpp-4"]
 candle = ["dep:candle-core", "dep:candle-nn", "dep:candle-transformers", "dep:tokenizers"]

crates/skardi/README.md

@@ -23,8 +23,8 @@ Query files, databases, data lakes, and vector stores with SQL — and serve res
 [dependencies]
 skardi = "0.1"
 
-# With ONNX model inference
-skardi = { version = "0.1", features = ["onnx"] }
+# With embedding (ONNX, Candle, GGUF, remote embeddings)
+skardi = { version = "0.1", features = ["embedding"] }
 ```
 
 ## Quick Start