diff --git a/haiku_rag_slim/haiku/rag/client/rebuild.py b/haiku_rag_slim/haiku/rag/client/rebuild.py
index 73efce18..c6a38f4b 100644
--- a/haiku_rag_slim/haiku/rag/client/rebuild.py
+++ b/haiku_rag_slim/haiku/rag/client/rebuild.py
@@ -16,6 +16,8 @@ if TYPE_CHECKING:
 
 logger = logging.getLogger(__name__)
 
+_REBUILD_BATCH_SIZE = 50
+
 
 async def rebuild_database(
     client: "HaikuRAG", mode: "RebuildMode | None" = None
@@ -204,7 +206,6 @@ async def _rebuild_rechunk(
     """Re-chunk and re-embed from existing document content."""
     from haiku.rag.embeddings import embed_chunks
 
-    batch_size = 50
     pending_chunks: list[Chunk] = []
     pending_docs: list[Document] = []
     pending_doc_ids: list[str] = []
@@ -234,7 +235,7 @@ async def _rebuild_rechunk(
         pending_doc_ids.append(doc.id)
 
         # Flush batch when size reached
-        if len(pending_docs) >= batch_size:
+        if len(pending_docs) >= _REBUILD_BATCH_SIZE:
             await _flush_rebuild_batch(client, pending_docs, pending_chunks)
             for doc_id in pending_doc_ids:
                 yield doc_id
@@ -255,7 +256,6 @@ async def _rebuild_full(
     """Full rebuild: re-convert from source, re-chunk, re-embed."""
     from haiku.rag.embeddings import embed_chunks
 
-    batch_size = 50
     pending_chunks: list[Chunk] = []
     pending_docs: list[Document] = []
     pending_doc_ids: list[str] = []
@@ -312,7 +312,7 @@ async def _rebuild_full(
         pending_doc_ids.append(doc.id)
 
         # Flush batch when size reached
-        if len(pending_docs) >= batch_size:
+        if len(pending_docs) >= _REBUILD_BATCH_SIZE:
             await _flush_rebuild_batch(client, pending_docs, pending_chunks)
             for doc_id in pending_doc_ids:
                 yield doc_id
diff --git a/tests/cassettes/test_rebuild/test_rebuild_batch_size_flush.yaml b/tests/cassettes/test_rebuild/test_rebuild_batch_size_flush.yaml
new file mode 100644
index 00000000..04c1d921
--- /dev/null
+++ b/tests/cassettes/test_rebuild/test_rebuild_batch_size_flush.yaml
@@ -0,0 +1,242 @@
+interactions:
+- request:
+    headers:
+      accept:
+      - application/json
+      accept-encoding:
+      - gzip, deflate, zstd
+      connection:
+      - keep-alive
+      content-length:
+      - '87'
+      content-type:
+      - application/json
+      host:
+      - localhost:11434
+    method: POST
+    parsed_body:
+      encoding_format: base64
+      input:
+      - batch flush doc 0
+      model: qwen3-embedding:4b
+    uri: http://localhost:11434/v1/embeddings
+  response:
+    headers:
+      content-type:
+      - application/json
+      transfer-encoding:
+      - chunked
+    parsed_body:
+      data:
+      - embedding: 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
+        index: 0
+        object: embedding
+      model: qwen3-embedding:4b
+      object: list
+      usage:
+        prompt_tokens: 6
+        total_tokens: 6
+    status:
+      code: 200
+      message: OK
+- request:
+    headers:
+      accept:
+      - application/json
+      accept-encoding:
+      - gzip, deflate, zstd
+      connection:
+      - keep-alive
+      content-length:
+      - '87'
+      content-type:
+      - application/json
+      host:
+      - localhost:11434
+    method: POST
+    parsed_body:
+      encoding_format: base64
+      input:
+      - batch flush doc 1
+      model: qwen3-embedding:4b
+    uri: http://localhost:11434/v1/embeddings
+  response:
+    headers:
+      content-type:
+      - application/json
+      transfer-encoding:
+      - chunked
+    parsed_body:
+      data:
+      - embedding: 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
+        index: 0
+        object: embedding
+      model: qwen3-embedding:4b
+      object: list
+      usage:
+        prompt_tokens: 6
+        total_tokens: 6
+    status:
+      code: 200
+      message: OK
+- request:
+    headers:
+      accept:
+      - application/json
+      accept-encoding:
+      - gzip, deflate, zstd
+      connection:
+      - keep-alive
+      content-length:
+      - '87'
+      content-type:
+      - application/json
+      host:
+      - localhost:11434
+    method: POST
+    parsed_body:
+      encoding_format: base64
+      input:
+      - batch flush doc 2
+      model: qwen3-embedding:4b
+    uri: http://localhost:11434/v1/embeddings
+  response:
+    headers:
+      content-type:
+      - application/json
+      transfer-encoding:
+      - chunked
+    parsed_body:
+      data:
+      - embedding: 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
+        index: 0
+        object: embedding
+      model: qwen3-embedding:4b
+      object: list
+      usage:
+        prompt_tokens: 6
+        total_tokens: 6
+    status:
+      code: 200
+      message: OK
+- request:
+    headers:
+      accept:
+      - application/json
+      accept-encoding:
+      - gzip, deflate, zstd
+      connection:
+      - keep-alive
+      content-length:
+      - '87'
+      content-type:
+      - application/json
+      host:
+      - localhost:11434
+    method: POST
+    parsed_body:
+      encoding_format: base64
+      input:
+      - batch flush doc 0
+      model: qwen3-embedding:4b
+    uri: http://localhost:11434/v1/embeddings
+  response:
+    headers:
+      content-type:
+      - application/json
+      transfer-encoding:
+      - chunked
+    parsed_body:
+      data:
+      - embedding: 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
+        index: 0
+        object: embedding
+      model: qwen3-embedding:4b
+      object: list
+      usage:
+        prompt_tokens: 6
+        total_tokens: 6
+    status:
+      code: 200
+      message: OK
+- request:
+    headers:
+      accept:
+      - application/json
+      accept-encoding:
+      - gzip, deflate, zstd
+      connection:
+      - keep-alive
+      content-length:
+      - '87'
+      content-type:
+      - application/json
+      host:
+      - localhost:11434
+    method: POST
+    parsed_body:
+      encoding_format: base64
+      input:
+      - batch flush doc 1
+      model: qwen3-embedding:4b
+    uri: http://localhost:11434/v1/embeddings
+  response:
+    headers:
+      content-type:
+      - application/json
+      transfer-encoding:
+      - chunked
+    parsed_body:
+      data:
+      - embedding: I837txQOdr0O85a895uYugGcjbhC5QA99irUPIFn6DuM2ZQ8Wo5nvEZnGb20Nb08fTEPOy/Hr7x+sRm8wuZMvXhmF7wPHgG713b7u47Q8rqWMzG8KCrhPFtiEz2+jhC9xTm0vKcSF7yWgaG82t5kvVUs9jtpuS892GBbvdopM71WOaO8YLyZvMPEzjnLTDQ5zYGAPC2Tfruk/Hc8YjJrPNH/nDyLLBi9ilMFu/OdzbuMDTU8fDwHPIOaOTx7Nva8+1zuvMS5ybzsyZM731obPH40HLyO7Ru8NuOsvB3Yg7sFy5U80MFCO449qLz5M5S8DAafu181pbzFPsE8NqCeO7AOxrsxeay7STCivFCljzxmEyw8zH11OgePqzevB+48XUxIu7V5OTy/iXY86TCvvCTurrvWMN48uozZOhAvhjyG9pc845yZPF4nIzt+sKI8U3PUPP61nby13p68O9lwPNYKyLuS4iY8lgvrOz8Ow7yLSny8FPmGPc1rHbmbtDw8G3iWu7faALydE2y8J2+CPIqNt7l0wRg6gIDsPPZr+7ufrJE8YdTTvIoznbx58tS6F2qAO3ABMjybf1G8sL7NvFpVgzzeTJU8WGibvHTMSzznLpQ8w+XXPKeSyDwpP8E8lXAiuxZ7TzzDd1S7qKxTPHWc6rtEKj49pCHiO2P3Oby3y748IXewPNSZGbvf1pe7hInrvE4ZPTxI7A+9H9KHO0F/bDxWUZ68Y784O17RAjyk3KW7yk2bO2hzTjza4vk8fgKJurRwq7uITCO7MI5wvBq4jLtPLji6M8Z0PCurarupWmK8NR19PMebS7n/fr88Z7sgu/4wmzwwoAS8QEwSPIqy4rvDzXc8aRiBu8JL/Ttmrrw8GeeuO9suubzLkB47MYdWOx5pIzpJIIE7EEVfPBykd7z83x68Q1HPvNsbGjyMiru81SgdvIpZurtWdMw8EoWxu5m8ujyCHAS9rSQgu6NgCjylbSS8pQuGvC24hrxHCW2590oyPLFv1rsWw8s8890FPMmGPDwwDmW7PsQWvDlXbrxrljs9VAkNvLtcijxOfqU7u/I8PJBPTTqhgXq8yhfAvDQVq7tgvKS8oXOcvNLshjvzKYW8AN0IOyBGnLtj2cK8SYsRvb82lTwC1qg757vevIRQPLz14IE8cgPoPMNpuLxmQDg7Po8KO/35Xjuqsae82ZzmO+5XPTytdg+8+OaTvOVtOLw2Wa05IUm+PKl5tbzXItM6+/4KPJw8jLvqlSw9tetpPE47NTwklmS9XB8iPBGzIryM1NU7Jl25uf3gGzyoaDc74j8OO2eYKboY9IE7K2W1vA55c7wGcGY7aNWfOkWMKLyz6jm9h/icvCBi1jsdpyu7n6WQvI5ozLweU9M7OFrXO9j7mbuNk8Y79MO9PNq7TLz4BGa8ciVvO5EtQruIDjs6ck4/PEIXFTxrObI7nl4JPI8aUzxp1wo7UXjEO1dUmjz5Ezg7D5GhPP0PrrwKfU+85NHzvOnJBTxew1U8xShpPKq9YLv3im278IQCvNPmNrtrRvg7MTpKvFkPpjzghLG8P2KAvOe/7bx6was8KPz2O0nwI71HPAG8xG8OO2GVCbv8Z088L33tO1kTpbsQj927poHSupWKgjsPFqA8wNXYOsDr67sLgI47VJCDO9EqpLuZPcg8oPUVvBATMbzBw7M74xQNvDFW0bwiFGY57YaGvI8aF70j0+O7/RKjPFGQELwK+DQ8DlX0PP/207vqFlw8nXNAvL+38TxOhTa76GGtur8A+7tTeL06GnCLO9clvTwWkje7CMAFvMzZGLzFGrA7CtSqPNRMzruPBCC9hn/Puw3rmjwxj426yCdqvSOLUTydZ+k7NHKAvBetsjxbVke5BwiTPBm4ZDyULay81/q2u6cUiLvYWQQ9NMXyO894DL392cM6LNQ5PNW2I71y3FU7He8RuxsDBT0PMQW8mShYvEttozxq42S8J127PNHdqDz3dh29nazQOi/3ZzyYd8u8ETsSvHHPFDwWk7I71hStvBsRljtVc6A8cq6gvNver7o6r9W8IdkVPcAle7odLJ68adWWPLsFobxCUgY8PE7cPArDsbt2I5s8L7uiO6+vajx5lxo8fi3IvKOtfjxYmQM7AB7uuO2ZIDyiXa07ydImOVidxrvLkyA9vHVDPGDwPzxqGRO7xMKEPMCcVDwH5qu822NTvbZmJTz8iJs8tiGqvIb7KL2LeW489TVVu45DEDuPd3o6sSu7ujj4N7ucJCq7hcDiPLwULDyRK/684TYAvMBdkrw6bm88aVMKPUPYaTzSEJW8/+buOuDZVDxGJtu8VpEQu8pkMr3aYP48YHZnO6tLTTxOSsQ8M59avbGtRzyV1CU8wHqbPFxZyTzb4YK8YrDXvITdEz2338+7OW+sOjHvlTxGbBg7mzMJPN6EAL2dI9q85L7WvHEznr1G6wy8DZMCvRXuhDsX3lQ8+jBtPEKiirw4rrq7bTsWPcFtwTyIE9S7tpWZO3/oYzsnHEi8BoeBvHVdMzyM2049vSaHO2JPfby3/QM9i9maPJAY17xc8Ds8MFMOPecWebv3NeY8WpaCPH8vr7so3AM921iuumrbBj0+GoW8FrRxPDBfprttPRS9aTlUvPChAjz8tsq8/lUAuwYCDbzGjio7fUxtPCRFXbxWd+e65k8LvTqYrDydmxa8ryxdvKNR/7xLn5M8r8AuPceE8LvPIoW8OrG0vBg/gTthjOW5taI6vB+TLLzpuv670CC0PDnYCr3DA+k8wauZPGmpozqFY1M8YzxTOyGyvDzPFki9BdBQPVRtLLzaMwm7Plr6PMaDbjy72zu8EtI5vaaPzry48M471N5HPdtoqDx0zO48SLGcu09fILxAuTA60IyPvEJsT7xQmSg8zzdNvKjVbzt5VKm8FJyzu0m49jxCkDs8MjXnPICJ4rvz8D08mmslPaxh5zgpjK88adSEvHH/7zr9/1s8yreZPPRDIDt4DNw7+rYFPSkzSTywFU08mv99O8uGXjz7+A+89KMeO9epdDwti1Q7JK73O5bg5rwBkIE7DSyIPLKjYrqC8Jk7hIuLO0IwwboVuac7oMJIu8HZNjs6fBS9goCdOg/2qzwnkqq8Ntv5Ox7A37tQ2I28j+WIPHOxPrxBMZC7Km04OlYE7buaeue8SZgyvXCIiLyi7x47DNUkPDI6vjvo7PG7MXwuvHSF4bxeLlA8to+BPMLNRTzVG7q8Vq3lPFk5s7xTEDc5rng3vaWEjrwRirg8sP1DvVrCT7vO1HS8Ny0RvbXYJ7rtr7G8H6DVus99ezzRt5U8V5a8vNbszbwSCLi8poE6vAUZc7xvALS8rqy0vDewNTwXmSA9fWOeunSRLT0dDdW8fiM1vc8iSjwiJyA9MbwKPJNb5DzC15I8YKuzPOlnZjzkHHE9jCJ6vD6zYb1t2ti6/FVPPOqjLzyOSsU7w2yMvGu6GTuVzoQ72KuNPD4yYrzQFZE8kg7+vJqROD1Xhuq6e4TwuwLqHDy6mpc8u7f0PP9uILxouOy8RFKxvCuS2bvoNuS7adwqvBUOH7yaV1A8wDt1u4CTwru8xYo8P6ATvYT06DtXqXS8lvx1u04gXTq5vAs9lEHguzFwsDySwTO8DCiKPJOkuTvHAUO8BGiMu5dQLjwewkA8dn17utVrDbtrRLc8HAkcPFFNczygrmM7xYsUPByzBL0gC8m8QMfPvMqMG73uqA28oThvPADDFbx1S/y7FUjMuzOaqzsfz3m8/EEwvJ6SwjwdU3c8vrWKO8UKcDzjD528QUVHPJKg+Ty/G4u9zEgUvI+Rajt7xX870aacPDbPvjzwqd26GX2EPUalvLw7i4Q8QhyLPF7avzzS+ZO80gYZPcFIXzya/Qk7uvEIOxiyCT0y28i8QkZoPLqjN7wKNmq7mVuPPDJBUTytV4q7+duVPHY+iTyr22o8YR7IvNTpg7ydywW9pASJvPEGWTxQlyA8u087O8ZpiTwiAD28hbExvACEI73kX4g8dLXlvM88gTzbIlM8cR1xuXrRjjtWgey8C2NkvAO707qSKJa8XhIGvHaxijybGzK8PZ4zPG7c0jyuBzS9So0MPW9zVT2EqZC8dfc6OzPjjjrru6M8JYtkPNcL2zyDZUK7HiCYvJB4rLrgyug8gW3wuUIDrLsg/rc7KgkfvI07HzwN+Qc9l01WvM37j7xwWyQ7qkVFvE+LlzxWGRC8WAuFO8AtkbkfNmI7e9Y+vThpmrxhcMu8oi/EvIQAgzyQXrK6CJd7PBWeF7yqNag8E0z5O3aORrzspQS60iRxuldM8bwfGQ+8Gf1AvC8YP7zVeNy8LdEKPQvYUr2DRD06IHbqPHvB3TzYfrA8NibjPAZvp7s4+c486M4jPSC9hrsp9xC9xByIPOl0yTz4PRo89Al5PJf2HD0O6m8611PEOosQibyJBl08aI7FvF0BxLveYpm8rgc3PAguKb2M49k8f9c9PB01rbx5Vt078TsDuxwTQDyFk6q7MfbRu/ax8jyQdxY9AQHNPKzCjzwCmBW9D4G9PH+PWzzwAwO9MqklvCHlKbztoxk8toDQOuRkKb0g3q27Wi3OO/IsJTw20wY9gPINvBjiDzymlPC8jdnUPBy99jo4/NM7uMxLPM9tHrtjFf080OfDu5YrbDzENx27JCWxvITo1Tyl2S49e/M0PKAFrDymeei8OGoWPJl3p7wYIHw8HiZLu1Etp7tHSEe8qhoKO7TpX7w7Gh88UeRqvMvg+7v1gra81NBjvC+fDT1TjbK7W0fxvOKPET3pWSc85yktPFyR3jxMkjo74ss6vPwRvDyWeFg7TcD3uh121LvaV4S8B6w9uzdGaDw9R2G8W490u3Srm7eP5ZM7cKP9uyu21bz8W7c8TCm5PFPaKb3LOrw7T4gJO2g1wDy6Ftu7r/39vD3RBr3SxdC70yoPvR/KL7xXcKK8Mt81vGbs8rx54488+FFAPGC+hDzvONo8t6BNOYd5y7zoUNG8S1LJOsLLVTyDfJm87ZGfPGNPC7w3RsC8Fg3uOtoe3jwJZRC8QRrvvO/ekrxNT1K8rWuTPN3ERrzewDQ7JILKPPaox7yF8yc8pJ9IvU/v3DtE0Ze8sCVjPMa+vjxII5a7kcBwPCv0Hr2Qobi7oqaAvCLyrjvxyYm8g5DIOn6XqTyTD0C9WBVBuwngBL2VRQ09OwpOPO+sgDzUGF07i/ClO0+hZrwX3BO61HlQvLkOETtAKJM8jK+qPF0lAz3mhUw80yPTuqcSibsFD+4893iCOv2nvDw+GiE9yjP/vHtIgDohaJw8FmwFPfS2bzywjYU8DPhDPLq9fzqSh+E7mNGEuwW1Ijzd9us7cXPCPCz6YbwWDWW8DtQxvNBluLzo3pq8kzWSuitFizzSCoa7CA9VPRojh7yvG585sdo7uyyYGLk6Uw68464gPCMFBjxp5Iy7SrUaPK0Q/jyLooq7mA7dO1uUWTv4XPO8SSEMvHl8/TtCCce8ALz5vCCFJDycTy086Mbju340MrtTjgi8b7nEPJdETLwyMSa84h6OPID3yTvwnPO7vbXuupkum7xDk5S8DmahvGz0V7vw2Ka8QAW+us4fe7wYh388lT3iPJF40DvLG2I8/rw5PahOAj2+K4Y7ZbKEvBv4Ab32B4a8+H8TO55UxjpZVyY8QwCAvLz+9jttzWi9KWFEPUQupLnNWEs6WdhTPNbGe7xGo7C7iUXVu0WlPr0rr0O8IYkXveqELTwLJ068Jx3RvF3w/7z9ou47rBsHPfEjKrtukAi9t1UUPdezirxq9U+8sVeHPMnGhzwIUYQ8yYeAPDx7l7xgC1i7ZgxNvFRG8DqHp5M8EnOlO3UhwTndBUg8gKUEvXSt2ry/KQY97/1au1Xrdbs9tww9lIrgOmBiOjxwGvm8lAmAuvGtnbzcEkC7MHfYO5Rl9Ds/D668XFEDO1xBsrzd4AA9T8BgOiv2qbu+clu87C4ovNDJGLz9AxW9yqDdPIga8rsXh928Kw+/O+Aal7tcaFS9KY6wvGtlJj2LS2w7lya5PFjkTjyrrVO7BDrsvMAVgjz0+QY9oM2uPPOz3juvtQg9kCHbOmPgnrz6XbI8zpZGPMjtELwQ3IE8+aHxvPn2TbwfZqc6bZhsvDOOuLtL/OI7PYEcO1jd5bvCuSM9Rkweu0q3qbtrocy8wSRqO0B+sTt9qzA8/P08PMxMt7zk0qm8FE2GvCcNzbz3uwQ8XV/0u55esDpgWBq7j9ADPVh9Hb0TM2M7IAlXvBgq3jrb23a8N3rAOxuDtLxU7as7zcr7O4NIBrzdbQW9kNBZPJNvHDwoPVM96k5DvGwgkrvgsu670yisOzqaCb2dwfq7tCBgvNaeBLtDV8I666A1vJk0abxwSt47i16Iuji15rxf/uQ7hu5bvGG7ejuUP2I8MLG2PHEtJ7zgljK9VbsMO7NUQbkh+E28ECJLOl4CVbwTCX08JFwEvOeRXLuKF/G87Q2yvEDBqTxpJJy8rx/KvJy4H73nB986GC9APCdTVjzlgAQ7fA3gPHp5Cjw/vD48fwpJPSUILjwEmTk81gwqPGN7z7zuTQO8aVDuPKgAKjy0Ebw8Q/t8uxZPITs8wSU9X45lPD5ixruz/JK7n3yruxyQCb3HiAa9NnSaPLGVC72xmgm8PN00PJJ2bLxyVDc9NixmvIUDmrtZwRk9DeaCu2zAm7xHQpG8ouKKO2mm6zylrf+79vX8PMal2rwkMg88l+BXvH1jTjxPKcc8z0y7PFhIbT3YdgS9TUXTvM/vuLy6vI88ACXFusXB4DxxvlS8BzOkPJoov7sBA2K8OcYgvEAMZrvtb7M5E+MDPfZR+jiRhzi9RrInPAI4YbtoC1u8u4oWPXVW3TtOga08CouiuxlAnrwnPuk86f6TPLs12LwI0Mi8J9ldPAAMgLv6dEO6hZTEuzLBAj2AOgG91iDQu0omHr3UHP471p78vCl4X7rda4A8FD2jvNKDkbutLgG9BlXNvPWHwrtwQyM89HgKvOLTCr08ECW911rdunVUsjzSnLY81mFsOg8Lk7zg1f48EQBROxmtibsKxRM9HmOVvG2uAT3aUYK72qqDuw6L+jxhKjs7GTlGPaXqLjvqa5+8rHGRvG180bvyVOE8XgH3OwBxDjyyGh294UutO/FzKbtk4xa8fG29PN79nLv/PIe8zTNLvGnRCDy6sOA81Fh3vGeE4jsYdSU8qVCevOumqjy8Fka8KNzSvCx6D7wvty88imZhu65JjTwwWko8w/8ovYjqA7yY56881HwdPXXwKzuUHhM8+SXwPI3e2LtR64u81flmusBBb7wOPL26UqpEPKEDrztt1vS71XtOvWBoQD2w5YY8tvV+vMNccDxnUl47Vi+fO4rrK7yT2128BPTMvFQrMDxVs8674SvOvIOXqTzhFQW8N5/7vD3a4Lpvs468q4eXvJAeTb2bayu9LugrvE7j0rxn1bA8SkcJu6NICb3H+QO9gRhqO/wAFD3DhAq9B5+2uQxNqro6Suq7JPMuPHmW/byYSZM79/SAvOkqAz0Fw8e81e/svI3uzjtzZJ88VdH8uyIKPD0NHJq8nCrIu/z9j7zam5I81aeOO0wmHzxGhdS7N64cO6x2hDy7WpE73G0Gu422kjqOI4a8Y6Z4vB9gBL2gABs8Don0vGX86jo6era8f1cMvGpC7Dxf/FM8DnOLvKNpjzy+5N089f5+PK6gkztS4SM8r6c6PHk5Dr1s8Ky83rQavC/KBTxiLBI9fhFPu1vXrLuvTi08yuQIPPLDOLzNbrm878IPO9Osp7xrCU+9oI5fu2ebejt97LY6IvGNvMxmED3Arsw89Eh9uxkcv7z++KW8trkIvczzkLyj0TY8zGPbPKRJtDyZiWU8PUaou5ao5ztnDwu7cgGsPKiCKDtRQu48xvYZvJcStTxub408/IQAPXAVgrm6bK07geAZPcMgDDmcC0W8/Hj4uzsT2jvDcnk6tt4QPXQbYDtgw+C8fWBXPB7YJbyQGm68tuemvG866Tzg33o8DOwWvCTJNz3A4Gi8qXTouwqNaTwsyyo9G5rtOEN0+Dtipl+86DgUvEtT5bycPZY8uE7ku/6Onjv7l7M8Ymi9PG1cjzwLsAU6sZqluyQP/juahNA7SqcYvDGEMDsOje08TO3cOCe63zwygsS8CyDOvCwoFzvsV7U8zPoyvHYko7vm/Fg9RS7ZvPeZlLuMtVo7zwlMvG+pNT1xEpS7BwrEvEAWJTsAkXE7Ss+yu5TfBzwEMBq6KGygPA0zr7xmd3i89x5VPH2CEz3RKQe7p1sIuoLc5zxWfKg8T+OJO9aNQzxvo8a7MQVJPMSq57xsKEg77M4MuyCGQz3g2+O8iDosvCTFJDwA0sM8VVLwO33jQzx8ytQ8ARuWvDT8Q7yrPnk8nfBmPPFTLzwZ8pU7wDkTPWZJC7uWpga9+QyCvK/VWzvVK8E8uQVlPZR5n7xwwZA7VjZjvOnIkbyfh9U8w9ERPZKD57vQp0y8zmMdPE+KgjrZBRW9HPzyOzeyDDyisjA72tX2Okm0WzlfsdO78osovJj4Zryvdic8nMPAO/brvjsVgNO8To8EPXXJID2M6c08KacmPRFDAL1zZ4Y8EnuXOwafoLx/DsM81vDRvJvEiztr9hk7uIYAPVdnCz291/g8AxiVvJBy5jqIHQU7g4USvNtqXDzgOFk8guwfPCwF5Tyl4hM6rdZxvS14kzrNq+q8OqUBvY8/PTvnv888YmgvvJ4MPjwLeX48rXpFPNdvLruTC2E8Aq7gup7rLzturI67iJbnOvfNzLsDTBQ8wHBmPHOEebyeGJ+8pGsCPXFXDT1xezE5rH2luiSrrrxEURk859zNPAdDHbvKbRC7BUPVO97/kDxagfs78MSbu0EqALtF7N46GDQePevnCrxM+aa6+BITvCDgyby/ub27XaTTPEq8WrzyqPq63qR4POIHg7yG8DU6t7ZavLe/GT3m2yk8suKKvMj6Kj3yZaQ8HQGCPFM0TDxWvtw7PwxMPAOZQ7sngwO9BdcqO9XAYTsNExI8cMP4PPDig7y+Jrm85PTou6t3E70mkte8UBCtuQSjgDzNrxW9hvaWvNw67jxxfSg86ytGvGw85rzXu5E8oevROyKFrDranqM8JOEpvOaYMbz0Era7f7pIPJXWlDyNrho9L9KWunxz9DtNETg8W1AivC7lejsmwuU7cbEYPCih47togJG7e51TvOLcuLx3aIc74rdou2kVXry3T1+8bLHbO8ZWujqIdgA77P4qvExkTjwDXeo8+kihuxYTm7zCNhU8RULXvDpHcbsG4j28Kg16PHpeazx/NcQ8TmWBPBAivjzQW9S8f19yOtRWCbx96uq6tbphvBSwZDwQuiM6+ri1PDanFLx21Hg8ayCbul3doLwFfCq8Lm45PXlFA7zG9Hy6CLIzPMVW6jwp9QO8TBD3ulOFWzpkS3u8v3AGvTqBJDybvoa7YScTPbt9o7wBL1K8tplhPd+pljsWoYm8BVWJvDPljLw4nPS8IgOovGScFj3ndFK9Ua7Xu0Qzz7oCetS6kDofvAfd/zu6s5w8S+qwO43nIzx/rg48KR3MO7phEzw806w8xc47vDBR2zxJwBm8G5p0vFZ6Q7xqHwe8xtjVPCAV3rmHUsk8weNaujGVcbxqVJ87o9WsO044qbwRDa08MIdnPMZfW71a+Ck9zLA8PPlm07xgWZq8db1nOs9HMTw0rCq9of8DusPCnjyDRJG8SxSgPBvyw7yiRTE8EaXevC2quTyF9im7IsVFvDCSkbzNjfa7X4emvKEZrTz1r8a6e74ovTnNGbyj1s88V5UCvQCGjrtsbUo91HlYvLO617uSRss8PiW2vDbuhrzvnPw7EM8WvdkPgrxJAXs8ju9tvMMGsTxe4QA7Zai7vMgXWDzprL28qO6Mu9NQLzl2BSi9dqHwvJPq0br0jOO5PtCqN+ewmDxXWGo6QXn+vEWngDqbtle8g7AQPTNe5bs3QQU8owsJPU+TzjvhexA9DCsMOWA6Fj334A68nc5avNBXeTy8RLW7jM6XPDnra7zdOzs87MeKPByjSjwZF/g7ESAvPRNNs7sWpES9eqA8ORPHGD3tlvi8WdKGuiIsP7yMMPI8aK4ZveFIxzyeOQI9QaEnu27LdDxT4Lo7aGfHPBXD9Dx0Gom80TP6PFb4Fbx2ePk7Pb4EPDrDGz00cTg80+XfvPGz8DzVdYQ8sJAxvDGT1zxiODo99CmUO4RgCjyh27a7EEvsvFXJEzqNrQq8jEkwPBbz1Txcug+8g9/VPHp0Cz1ZWLU8wXFdO6vbXbyDBp68UrTGO3KuzrwLIoK8YKm/uz0aYjp/54S8sLEzvOLtjbvr6uy8W9XiO7aq0jsDEHK8oIcQvWrTjbxkwhO91fK1O6rZXrwqMgM9WF8Sva6/gbxBabC8TPfnNyZaozxOOuC8RjC6vHAFKr3mlp48jG+Mu9/gjzqnMZ68AjNmPKBSWLyQ7sa85755vEm/JrxosQq9qaEJvLSvrrov7II5xfFmvOMTAr1hJtu8btglPXoPwDyiNic839EdPDBT0rxxaxw7Bi16vaZ/yjvN9yM943+wO4433TwQciY9CzGvO0FDjjwJvQo9jnE3PCVviD3heBo8Si1RPGF+trv2hLU8MVmivHPouLuuYSS9jbhwvJCWZ7y7W6o8BfzfuhN9c7wkL5487yIiO+iF3rsjc5K8n8kqvFdQCL06d3+8MyWNPF62VDzM2di6soG3uazyZTxChpm76S4zvc6TlLzuTRO8MihrvDHDP71bLyY81qK7PMUCSDzZi+28drbdu8IJDT3ZS2G8U1mCO4HGhLy/5bK413+aO6hHgDxqvIe7BOxDO8WJsjpFQ6m8jYcSPXefJrxnOAq7VS9HvNkdYDzIefC8GC6QvBd53Dz37Lw8jDS6uzJli7ufXju84K3vPOOvuzzOKJ28WkUBPGsb3jusT905a6h4vGKu/bsW10i7woQIuxNkAL0DN7i8STzlPHJ0nbwUlqc7AMcuu+qbQbsHMxE77A65PFbgUrxN3MC8stv5u6y2WzzOEli8jGjyu2uCqLsCCJ45I2v6u8iJKbzG1Sq70Gh6PIQKkTzXU4M8rjUtOzZCFz1/TgY8DkycPBYXLjzXEo07dU7lum8TIbtIabE8tTwdPGjKKLxCj868KQuIPMEJ87uwMiU7o1niu1sdRjwrWhW9BzNKOJkNDj2N2Nu8pjJ8PGRZebyoHUk8KStSPFZ8Cjw+q1o8gvWqvHu1Ajy1EaE8y0TAO2KZCLtwUIw8lSyYPA2dfLsQ9CS9x1DEvAHlKL2OESO9lsbivCc+wrsC3q28imOAOEFPy7z6eX+82WWCuzJ8hzywx/27Kh6EPBVGRzwi+p48jfp+PDfyX7s95LE8N/+ePLFtsDuKTqa8T34avPctnbz0yF67fQ+YvBYjKbyFu+u7RzuUO8t3g7z1zXq8xKvpvMN317s/W/w5Zb+Ruw5z1brUzS+9pD0qvZSw+Lo1TCw9w7YLvIXLJru1KwI9wEKlPDuamzxh4/87KpIVvZoZl7x4np+7NChHvPOGNjyG2aY8i+GnOxSgpLyPNhO8eejBvA0lXLzZ3dW7RI8DvfrjjjzryWI7G2tOOl9LF7qF0xk9n6ygvPTpRzwhec08KrPePPwaEbx7iPm8LwawvCgUAb1odx49TKuruyhWMbs5aaI88mOQO4whnDxHNim8ftH7OwYNXDygaHs8KhcnPL/jjjsQQ8M8LOcYPKSHRTq7iFU9WltCvKP1FLz2Guo88EeZvKWkorxO5t084U6BvLTRkrtKJrw78zTKO06VIjyGADw8gSqPuw5dG70js448zPcPPMkL/ry/9Eg7RrnVPHRop7wgzhi8NL2xuzM5ojya5I66NOgMPc+NS7xWGre8192ivKqCmbxT/8Q7FdmAvLleQ730xpm8Ln8XPKBaBLwUB9M6XCu6vNndGznWhXM8hjFpOy9ynTvq2bU8sVHrOxMW1TvSiZ48nm+AvODHLT3f8Sk8OTmVvP9TgTzjgXW8jgayvEPrwDxXqZC7cb6BOqQybTxVoqe7JsvZOtnZ3bqPOvK8I9ruu6W8x7ynFjQ8vRv1PIaWtbyO13Q8etg7ukVzR7zAxMa8xi7qO6W+2LwKGOA7cfQbvEAVQLxbqHU89UB0O4fMlDx6oIK8DtGRuyhx7Dswz268KkqMvL3wvDtsGcy7Y1SFPKssKzvez4y8wRdEu8PZkjuFG6q8PY2pvKW6Eb1Qluk8jStpvDA41Lq5p487n3c1PM4QhryjJna89KlqvB6WKDzesYS8R07YOIo6FTzVpo+6Uq2Fu6KZpjx2w8E7ovMIvWFq4Dxtmcs8JVe6u/VTGTtCv5W8IcQKvSwq8Tvj5PU8EcC8vJDC3jxauAY7A244vJS1vTu6AyY8fkUrvXv1ITtCLog7Y1k4PME0lrwWTIU7FnGdvJQ0KL0qJka90SDNPKWqIb3uj6m8jrbFu2WUsDtR+Qm7dxtkvUqlX7tkc7689IKnu1dhDD23T2S8AkTMu8wPzDwbXcu8pieiuvEvSTy0GH+6EmoIPfAlkrzQnay84DuLPIWt/rk0lbu87vbOO8L8qzxF0Ku5G+NlPJ0MNLx4fcS8+pkLvOhxfTzVhqQ8a/hjPI6yl7zKdwe9N+jfvG8pbLzkNIm6nk8vvTp0nLx2WA09qIBsvFiuZ7x+UeU63AhUPB8phzx3hkc86Wl3vB6+E7z+knW8qbOmOgjOAz06CV28oh6yuz4Hiryt8fa72mo1vGMvgDtPlIy7RMYRvVPow7yGGmA8Hl5gvKxhKjt2wk68a4DTPKvXBj2HpDG7l2YbvIUncbxoq0o8gniNO1vBDb2/8N48vQcPvdXdEb2rD4u8qjpivIK7RLw6sYo8mQ1zPDuk7zvnlJI88QQ0vWP0wTvejwa8LfTsO949f7zZ8Ay6UZMKPaWUBzxJhKO85Q8IvYAk8zu+JwO9LuDSPEtDCbtSxr48ioEMPGNhhzwlxJy8K3rWuTRYK7uwUfI8VEsLPHUbjLzMo7S87U8UPQ24CD00V4g8vX2MukaAh7q+WC+8jJgAvJHy87xSTAY8ddwTvNQwETwZTwu8MFC1uu5hXLyBrlk8zgT/vNH3Ij2TlN+87KCevHKnBj01/ma7xBUlO3WXGTy9RG48/6oPPVV5vbvVw7G8drVpvFotRDt9MgG96BAZu30ncztssRy8xPoGPQl7i7f5pFA8TpNJPfmVw7uzAlM8sfsxvfisRLzQWcU7EZNAvMkRi7xgk588VPQwO+b8FT28+Oo74LgkvQ1jLLyiGIw8HD7HPE8yFzvLQ8O7Pw52PK7Jtjxe4Ay7ymlHurTfYryz/YI8lUibuzLl+Du+oWu7lyj3uy3t/rxBtIw7gSWTPCMajjxuRAW8ivqlPA07kDz9nO+5g6ArOxNia7wzw0o8LayjO5i2ibx1+q68HYWGOz75GLxp2NM793kGvUyLrbz3Kmc86KDuPCe4oLz9Vzy8+cgpPE6SHz1xZ7E6qMW9PA9IvTzk5KS7ISh2Oy2ABTvHhhu81mpcPFrYRTxnuYW8RmbIO1jB57zYabq7F6kMvA==
+        index: 0
+        object: embedding
+      model: qwen3-embedding:4b
+      object: list
+      usage:
+        prompt_tokens: 6
+        total_tokens: 6
+    status:
+      code: 200
+      message: OK
+- request:
+    headers:
+      accept:
+      - application/json
+      accept-encoding:
+      - gzip, deflate, zstd
+      connection:
+      - keep-alive
+      content-length:
+      - '87'
+      content-type:
+      - application/json
+      host:
+      - localhost:11434
+    method: POST
+    parsed_body:
+      encoding_format: base64
+      input:
+      - batch flush doc 2
+      model: qwen3-embedding:4b
+    uri: http://localhost:11434/v1/embeddings
+  response:
+    headers:
+      content-type:
+      - application/json
+      transfer-encoding:
+      - chunked
+    parsed_body:
+      data:
+      - embedding: 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
+        index: 0
+        object: embedding
+      model: qwen3-embedding:4b
+      object: list
+      usage:
+        prompt_tokens: 6
+        total_tokens: 6
+    status:
+      code: 200
+      message: OK
+version: 1
diff --git a/tests/cassettes/test_rebuild/test_rebuild_full_with_accessible_source.yaml b/tests/cassettes/test_rebuild/test_rebuild_full_with_accessible_source.yaml
new file mode 100644
index 00000000..c67b4357
--- /dev/null
+++ b/tests/cassettes/test_rebuild/test_rebuild_full_with_accessible_source.yaml
@@ -0,0 +1,82 @@
+interactions:
+- request:
+    headers:
+      accept:
+      - application/json
+      accept-encoding:
+      - gzip, deflate, zstd
+      connection:
+      - keep-alive
+      content-length:
+      - '115'
+      content-type:
+      - application/json
+      host:
+      - localhost:11434
+    method: POST
+    parsed_body:
+      encoding_format: base64
+      input:
+      - Fresh content from an accessible file source.
+      model: qwen3-embedding:4b
+    uri: http://localhost:11434/v1/embeddings
+  response:
+    headers:
+      content-type:
+      - application/json
+      transfer-encoding:
+      - chunked
+    parsed_body:
+      data:
+      - embedding: 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
+        index: 0
+        object: embedding
+      model: qwen3-embedding:4b
+      object: list
+      usage:
+        prompt_tokens: 9
+        total_tokens: 9
+    status:
+      code: 200
+      message: OK
+- request:
+    headers:
+      accept:
+      - application/json
+      accept-encoding:
+      - gzip, deflate, zstd
+      connection:
+      - keep-alive
+      content-length:
+      - '115'
+      content-type:
+      - application/json
+      host:
+      - localhost:11434
+    method: POST
+    parsed_body:
+      encoding_format: base64
+      input:
+      - Fresh content from an accessible file source.
+      model: qwen3-embedding:4b
+    uri: http://localhost:11434/v1/embeddings
+  response:
+    headers:
+      content-type:
+      - application/json
+      transfer-encoding:
+      - chunked
+    parsed_body:
+      data:
+      - embedding: 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
+        index: 0
+        object: embedding
+      model: qwen3-embedding:4b
+      object: list
+      usage:
+        prompt_tokens: 9
+        total_tokens: 9
+    status:
+      code: 200
+      message: OK
+version: 1
diff --git a/tests/test_client.py b/tests/test_client.py
index 4eafd9fc..360163dc 100644
--- a/tests/test_client.py
+++ b/tests/test_client.py
@@ -1272,6 +1272,39 @@ async def test_client_convert_file_not_found(temp_db_path):
             await client.convert(Path("/nonexistent/path/file.txt"))
 
 
+async def test_client_convert_from_url(temp_db_path):
+    """convert() with an http(s) URL downloads to a tempfile and converts."""
+    from docling_core.types.doc.document import DoclingDocument
+
+    async with HaikuRAG(temp_db_path, create=True) as client:
+        mock_response = AsyncMock()
+        mock_response.content = (
+            b"<html><body><p>URL convert path content.</p></body></html>"
+        )
+        mock_response.headers = {"content-type": "text/html"}
+        mock_response.raise_for_status = AsyncMock()
+
+        with patch("httpx.AsyncClient.get", return_value=mock_response):
+            docling_doc = await client.convert("https://example.com/page.html")
+
+        assert isinstance(docling_doc, DoclingDocument)
+        markdown = docling_doc.export_to_markdown()
+        assert "URL convert path content" in markdown
+
+
+async def test_client_convert_from_url_unsupported_content_type(temp_db_path):
+    """convert() rejects URLs whose content type isn't supported by the converter."""
+    async with HaikuRAG(temp_db_path, create=True) as client:
+        mock_response = AsyncMock()
+        mock_response.content = b"\x00\x01\x02binary"
+        mock_response.headers = {"content-type": "application/octet-stream"}
+        mock_response.raise_for_status = AsyncMock()
+
+        with patch("httpx.AsyncClient.get", return_value=mock_response):
+            with pytest.raises(ValueError, match="Unsupported content type"):
+                await client.convert("https://example.com/blob.bin")
+
+
 @pytest.mark.vcr()
 async def test_client_convert_unsupported_extension(temp_db_path):
     """Test convert() raises ValueError for unsupported file extension."""
diff --git a/tests/test_rebuild.py b/tests/test_rebuild.py
index b5373e28..37cba7f6 100644
--- a/tests/test_rebuild.py
+++ b/tests/test_rebuild.py
@@ -1,3 +1,5 @@
+import tempfile
+from pathlib import Path
 from typing import TypedDict
 
 import pytest
@@ -263,3 +265,107 @@ async def test_rebuild_rechunk(qa_corpus: Dataset, temp_db_path):
 
         # Chunk IDs should change (chunks are recreated)
         assert chunk_ids_before.isdisjoint(chunk_ids_after)
+
+
+@pytest.mark.vcr()
+async def test_rebuild_full_with_accessible_source(temp_db_path):
+    """FULL rebuild re-ingests from source when the URI is accessible.
+
+    Covers the main path in _rebuild_full (source-accessible branch): the
+    document is deleted and re-created from its URI, producing a new ID.
+    """
+    async with HaikuRAG(temp_db_path, create=True) as client:
+        with tempfile.TemporaryDirectory() as temp_dir:
+            source_path = Path(temp_dir) / "source.txt"
+            source_path.write_text("Fresh content from an accessible file source.")
+
+            original = await client.create_document_from_source(source=source_path)
+            assert not isinstance(original, list)
+            assert original.id is not None
+            original_id = original.id
+
+            processed_ids = [
+                doc_id
+                async for doc_id in client.rebuild_database(mode=RebuildMode.FULL)
+            ]
+
+            # Original doc was deleted and a new one created; the old ID
+            # must not appear, and exactly one new ID must have been yielded.
+            assert original_id not in processed_ids
+            assert len(processed_ids) == 1
+
+            new_doc = await client.get_document_by_id(processed_ids[0])
+            assert new_doc is not None
+            assert new_doc.uri == source_path.as_uri()
+            assert "Fresh content" in new_doc.content
+
+
+async def test_rebuild_title_only_handles_llm_failure(temp_db_path, monkeypatch):
+    """TITLE_ONLY: a failure on one document does not abort the generator.
+
+    The first document raises during title generation (simulated LLM error);
+    the second succeeds. Rebuild must log-and-skip the failure, yield only
+    the successful document, and persist its new title.
+    """
+    from haiku.rag.store.models.document import Document
+
+    async with HaikuRAG(temp_db_path, create=True) as client:
+        # Skip embedding — TITLE_ONLY only touches documents.
+        doc1 = await client.document_repository.create(
+            Document(content="doc one body", metadata={})
+        )
+        doc2 = await client.document_repository.create(
+            Document(content="doc two body", metadata={})
+        )
+        assert doc1.id is not None and doc2.id is not None
+
+        async def fake_generate_title(doc):
+            if doc.id == doc1.id:
+                raise RuntimeError("simulated LLM failure")
+            return "Second Title"
+
+        monkeypatch.setattr(client, "generate_title", fake_generate_title)
+
+        processed_ids = [
+            doc_id
+            async for doc_id in client.rebuild_database(mode=RebuildMode.TITLE_ONLY)
+        ]
+
+        assert processed_ids == [doc2.id]
+
+        refreshed = await client.get_document_by_id(doc2.id)
+        assert refreshed is not None
+        assert refreshed.title == "Second Title"
+
+        untouched = await client.get_document_by_id(doc1.id)
+        assert untouched is not None
+        assert untouched.title is None
+
+
+@pytest.mark.vcr()
+async def test_rebuild_batch_size_flush(temp_db_path, monkeypatch):
+    """RECHUNK flushes in batches and yields every document.
+
+    Forces a tiny batch size so three docs trigger at least one mid-loop
+    flush plus the final flush. Regression guard for the batched-write path
+    in _rebuild_rechunk.
+    """
+    from haiku.rag.client import rebuild as rebuild_module
+
+    monkeypatch.setattr(rebuild_module, "_REBUILD_BATCH_SIZE", 2)
+
+    async with HaikuRAG(temp_db_path, create=True) as client:
+        ids: list[str] = []
+        for i in range(3):
+            doc = await client.create_document(content=f"batch flush doc {i}")
+            assert doc.id is not None
+            ids.append(doc.id)
+
+        processed = [
+            doc_id async for doc_id in client.rebuild_database(mode=RebuildMode.RECHUNK)
+        ]
+
+        assert sorted(processed) == sorted(ids)
+        for doc_id in ids:
+            chunks = await client.chunk_repository.get_by_document_id(doc_id)
+            assert len(chunks) > 0