bump version to 0.5.2

Author: sushanthpy

profiling_results.json

@@ -1,128 +1,128 @@
 {
-  "timestamp": "2026-01-21T00:28:50.295834",
+  "timestamp": "2026-02-09T23:25:45.813348",
   "config": {
     "num_vectors": 1000,
     "dimension": 768,
     "batch_size": 1000,
     "ef_construction": 200,
     "max_connections": 16,
     "safe_mode": "0",
-    "profiling_enabled": "1"
+    "profiling_enabled": "0"
   },
   "summary": {
     "total_vectors": 1000,
-    "total_insert_time_ms": 254.603166,
-    "vectors_per_second": 3927.680930723383,
-    "us_per_vector": 254.603166,
-    "search_time_ms": 0.844084,
-    "peak_memory_mb": 9.460450172424316,
+    "total_insert_time_ms": 148.535125,
+    "vectors_per_second": 6732.4143026775655,
+    "us_per_vector": 148.535125,
+    "search_time_ms": 0.247833,
+    "peak_memory_mb": 9.40407657623291,
     "index_size": 1000
   },
   "memory": {
-    "peak_mb": 9.460450172424316,
-    "current_mb": 3.634946823120117,
+    "peak_mb": 9.40407657623291,
+    "current_mb": 3.59774112701416,
     "allocations": 0,
     "vector_data_mb": 2.93731689453125,
-    "overhead_mb": 6.523133277893066
+    "overhead_mb": 6.46675968170166
   },
   "python_layer": {
     "name": "python",
     "timings": {
       "numpy_ascontiguous": {
         "name": "numpy_ascontiguous",
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-        "mean_ms": 0.005833,
+        "total_ms": 0.003292,
+        "mean_ms": 0.003292,
         "std_ms": 0,
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-        "max_ms": 0.005833,
-        "p50_ms": 0.005833,
-        "p95_ms": 0.005833,
-        "p99_ms": 0.005833
+        "min_ms": 0.003292,
+        "max_ms": 0.003292,
+        "p50_ms": 0.003292,
+        "p95_ms": 0.003292,
+        "p99_ms": 0.003292
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       "dtype_conversion": {
         "name": "dtype_conversion",
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-        "mean_ms": 0.003875,
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+        "mean_ms": 0.002791,
         "std_ms": 0,
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       "data_validation": {
         "name": "data_validation",
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       "ffi_ptr_creation": {
         "name": "ffi_ptr_creation",
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       "ffi_call_overhead": {
         "name": "ffi_call_overhead",
         "count": 1,
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       "batch_total": {
         "name": "batch_total",
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         "std_ms": 0,
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       },
       "index_creation": {
         "name": "index_creation",
         "count": 1,
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+        "total_ms": 2.620625,
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         "std_ms": 0,
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       "search_total": {
         "name": "search_total",
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     "counts": {

pyproject.toml

@@ -4,7 +4,7 @@ build-backend = "setuptools.build_meta"
 
 [project]
 name = "sochdb"
-version = "0.5.0"
+version = "0.5.2"
 description = "SochDB is an AI-native database with token-optimized output, O(|path|) lookups, built-in vector search, and durable transactions."
 readme = "README.md"
 license = {text = "Apache-2.0"}

src/sochdb/__init__.py

@@ -1,5 +1,5 @@
 """
-SochDB Python SDK v0.5.0
+SochDB Python SDK v0.5.2
 
 Dual-mode architecture: Embedded (FFI) + Server (gRPC/IPC)
 
@@ -32,7 +32,7 @@
     client.put_kv("key", b"value")
 """
 
-__version__ = "0.5.0"
+__version__ = "0.5.2"
 
 # Embedded mode (FFI)
 from .database import Database, Transaction