Compiled packaged sqlite3 library with fts5 support (#9)

* Compiled Sqlite3 with FTS5 support

* Added demo code for FTS5

Package.swift

@@ -43,7 +43,10 @@ let package = Package(
         ),
         .target(
             name: "CSQLiteVec",
-            publicHeadersPath: "include"
+            publicHeadersPath: "include",
+            cSettings: [
+                .define("SQLITE_ENABLE_FTS5")
+            ]
         ),
         .testTarget(
             name: "SQLiteVecTests",

Sources/SQLiteVecCLI/CLI.swift

@@ -5,16 +5,25 @@ import SQLiteVec
 enum CLI {
     static func main() async throws {
         try SQLiteVec.initialize()
-        let data: [(index: Int, vector: [Float])] = [
-            (1, [0.1, 0.1, 0.1, 0.1]),
-            (2, [0.2, 0.2, 0.2, 0.2]),
-            (3, [0.3, 0.3, 0.3, 0.3]),
-            (4, [0.4, 0.4, 0.4, 0.4]),
-            (5, [0.5, 0.5, 0.5, 0.5]),
+        let data: [(index: Int, vector: [Float], title: String, content: String)] = [
+            (1, [0.1, 0.1, 0.1, 0.1], "Introduction to Machine Learning", "Machine learning is a subset of artificial intelligence..."),
+            (2, [0.2, 0.2, 0.2, 0.2], "Deep Learning Basics", "Deep learning uses neural networks to learn from data..."),
+            (3, [0.3, 0.3, 0.3, 0.3], "Natural Language Processing", "NLP combines linguistics and machine learning..."),
+            (4, [0.4, 0.4, 0.4, 0.4], "Computer Vision", "Computer vision enables machines to understand visual data..."),
+            (5, [0.5, 0.5, 0.5, 0.5], "Reinforcement Learning", "Reinforcement learning involves agents learning through interaction...")
         ]
         let query: [Float] = [0.3, 0.3, 0.3, 0.3]
+        let textQuery = "learning"
+
         let db = try Database(.inMemory)
         try await db.execute("CREATE VIRTUAL TABLE vec_items USING vec0(embedding float[4])")
+        try await db.execute("""
+            CREATE VIRTUAL TABLE docs USING fts5(
+                title,
+                content,
+                tokenize='porter'
+            )
+        """)
         for row in data {
             try await db.execute(
                 """
@@ -23,6 +32,13 @@ enum CLI {
                 """,
                 params: [row.index, row.vector]
             )
+            try await db.execute(
+                """
+                INSERT INTO docs(rowid, title, content)
+                VALUES (?, ?, ?)
+                """,
+                params: [row.index, row.title, row.content]
+            )
         }
         let result = try await db.query(
             """
@@ -35,5 +51,17 @@ enum CLI {
             params: [query]
         )
         print(result)
+
+        let textResults = try await db.query(
+            """
+            SELECT rowid, title, content, rank
+            FROM docs
+            WHERE docs MATCH ?
+            ORDER BY rank
+            LIMIT 3
+            """,
+            params: [textQuery]
+        )
+        print(textResults)
     }
 }