Nomad changes

docs/snippets/zig/advanced/vector_database_integration.md

@@ -0,0 +1,60 @@
+```zig title="Zig"
+const std = @import("std");
+const kreuzberg = @import("kreuzberg");
+
+pub fn main() !void {
+    var gpa = std.heap.GeneralPurposeAllocator(.{}){};
+    defer _ = gpa.deinit();
+    const allocator = gpa.allocator();
+
+    const document_id = "doc_001";
+
+    const config_json =
+        \\{
+        \\  "chunking": {
+        \\    "max_characters": 512,
+        \\    "overlap": 50,
+        \\    "embedding": {
+        \\      "model": {"type": "preset", "name": "balanced"},
+        \\      "normalize": true,
+        \\      "batch_size": 32
+        \\    }
+        \\  }
+        \\}
+    ;
+
+    const result_json = try kreuzberg.extract_file_sync("document.pdf", null, config_json);
+    defer std.heap.c_allocator.free(result_json);
+
+    var parsed = try std.json.parseFromSlice(std.json.Value, allocator, result_json, .{});
+    defer parsed.deinit();
+
+    const root = parsed.value;
+    if (root != .object) return;
+
+    const stdout = std.io.getStdOut().writer();
+
+    const chunks_val = root.object.get("chunks") orelse return;
+    if (chunks_val != .array) return;
+
+    for (chunks_val.array.items, 0..) |chunk, index| {
+        if (chunk != .object) continue;
+
+        const embedding_val = chunk.object.get("embedding") orelse continue;
+        if (embedding_val != .array) continue;
+
+        const content_val = chunk.object.get("content") orelse continue;
+        if (content_val != .string) continue;
+
+        const record_id = try std.fmt.allocPrint(allocator, "{s}_chunk_{d}", .{ document_id, index });
+        defer allocator.free(record_id);
+
+        try stdout.print("id={s} dims={d} content_length={d}\n", .{
+            record_id,
+            embedding_val.array.items.len,
+            content_val.string.len,
+        });
+        // Persist record_id, content_val.string, and embedding_val.array.items in a vector database.
+    }
+}
+```