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47
docs/snippets/zig/metadata/vector_database_integration.md
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47
docs/snippets/zig/metadata/vector_database_integration.md
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```zig title="Zig"
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const std = @import("std");
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const kreuzberg = @import("kreuzberg");
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pub fn main() !void {
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var gpa = std.heap.GeneralPurposeAllocator(.{}){};
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defer _ = gpa.deinit();
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const allocator = gpa.allocator();
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const config_json =
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\\{
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\\ "chunking": {
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\\ "max_characters": 512,
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\\ "overlap": 50,
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\\ "embedding": {
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\\ "model": "balanced",
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\\ "normalize": true
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\\ }
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\\ }
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\\}
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;
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const result_json = try kreuzberg.extract_file_sync("document.pdf", null, config_json);
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defer std.heap.c_allocator.free(result_json);
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var parsed = try std.json.parseFromSlice(std.json.Value, allocator, result_json, .{});
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defer parsed.deinit();
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const root = parsed.value;
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if (root != .object) return;
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const stdout = std.io.getStdOut().writer();
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const chunks_val = root.object.get("chunks") orelse return;
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if (chunks_val != .array) return;
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for (chunks_val.array.items, 0..) |chunk, index| {
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if (chunk != .object) continue;
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const embedding_val = chunk.object.get("embedding") orelse continue;
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if (embedding_val != .array) continue;
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try stdout.print("Chunk {d}: {d} dimensions\n", .{ index, embedding_val.array.items.len });
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// Store embedding_val.array.items in vector database
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}
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}
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```
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