v9.14.0
EricLBuehler/mistral.rsv9.14.0Oct 6, 2026by davidmezzetti
Upgrading?
AI Summary
This release introduces new ANN backends for RaBitQ and Zvec Sparse, alongside native support for ONNX vectors. It includes a significant number of improvements and bug fixes to enhance performance and stability.
Key Highlights
- Added RaBitQ as a new ANN backend
- Added Zvec Sparse ANN backend
- Added native support for ONNX vectors
- Updated vectors package to standardize fallback logic
- Support for pooling_mode with recent Sentence Transformers models
Breaking Changes
- Require Python 3.11
New Features
- ONNX vectors backend
- RaBitQ as an ANN backend
- Zvec Sparse ANN
- Pooling mode support for recent Sentence Transformers models
- Trust remote code support in associated AutoModels
Full Release Notes
**This release adds new ANN backends for RaBitQ and Zvec Sparse, native support for ONNX vectors along with a bonanza of improvements and bug fixes** See below for full details on the new features, improvements and bug fixes. New Features -------------------------- - Add ONNX vectors backend (#1211, #1212) @joseph-bergin - Add RaBitQ as an ANN backend (#1244, #1251) @pma1999 - Add Zvec Sparse ANN (#1280, #1307) @Ni0ri - Require Python 3.11 (#1273) Improvements -------------------------- - Update vectors package to standardize fallback logic (#1221) - Support pooling_mode with models trained with recent Sentence Transformers (#1292) - Refactor ANN unit tests (#1305) - Support trust_remote_code in associated AutoModels (#1342) Bug Fixes -------------------------- - Latest version of LiteLLM is broken with Python 3.10+ (#1193) - Fix bash tool hanging on commands that read stdin (#1209, #1210) @pacocartones - fix(api): parse the graph query parameter as a bool (#1213) @serhiizghama - Load the Milvus collection when opening a saved index (#1214) @morgan-coded - Ignore padding rows in LateEncoder scores (#1215) @morgan-coded - Resolve label filters by label id (#1216) @morgan-coded - Improve late pooling configuration errors (#1217) @morgan-coded - Keep count() accurate after repeated deletes in GGML and IVFSparse (#1218) @morgan-coded - Delete every index entry for an id in Terms (#1219) @morgan-coded - fix(vectors): remove the sparse spool file when checkpointing is disabled (#1220) @serhiizghama - Keep the archive working directory alive when saving a loaded index (#1222) @morgan-coded - Key the vectors model cache by configuration (#1223) @morgan-coded - Save empty keyword and content indexes without errors (#1224) @morgan-coded - fix(workflow): add request timeout to ServiceTask (#1225, #1226) @pacocartones - Select the top documents in LateEncoder by the document axis (#1227) @morgan-coded - Fix ANN delete on quantized Torch stores and tiny GGML indexes (#1228) @morgan-coded - Fix Transform.stream() yielding a None text value into the encoder (#1231) @AmirF194 - fix(ann): honor quantize: false in the Faiss and SQLite backends (#1234) @serhiizghama - Fix quantize: false silently enabling Q8_0 quantization in the GGML backend (#1235, #1236) @AmirF194 - Fix Cluster combining avg() as an unweighted mean of shard averages (#1237) @AmirF194 - fix(database): don't drop rows when sorting or grouping by a JSON field (#1238) @serhiizghama - Latest version of Transformers has breaking change for Text to Audio pipeline (#1239) - Save IVFSparse indexes after deleting with NumPy ids (#1241) @morgan-coded - Set the HNSW delete counter when loading an index (#1242) @morgan-coded - Keep community nodes that match none of the topic terms (#1243) @linhongyu510 - fix(api): forward zero weights and url-encode parameters in Cluster search (#1245) @serhiizghama - Honor the nfeatures setting in IVFSparse (#1246, #1250) @liugj0710 - Keep deleted keyword results excluded after common-term scoring (#1247, #1248) @LimbC-C - Keep SQLite ANN data when saving a modified index to a new path (#1249) @Irahan2 - Fix DuckDB.formatargs dropping repeated named bind parameters (#1252, #1253) @AmirF194 - Preserve local filenames in RetrieveTask (#1255, #1256) @dingpuyu - Support explicit LIKE escapes in wildcard term queries (#1258, #1259) @LimbC-C - Preserve falsy TemplateTask rule matches (#1261, #1262) @HuaTNA - Label QA spans without the answer with the CLS token (#1263, #1264) @huiq777 - Fix training with pandas DataFrames (#1265, #1266) @huiq777 - Preserve reusable RagTask inputs (#1267, #1268) @HuaTNA - Pack rows into chunks up to and including maxlength (#1269, #1270) @huiq777 - Reject iterator inputs for multi-action tasks without buffering (#1271, #1272) @LimbC-C - Preserve keyword document ID types across save/load (#1274, #1275) @HuaTNA - Fall back to root tokenizers for ONNX and LiteRT Hub subdirectory models (#1277) @morgan-coded - Ignore negative deletion IDs in NumPy and Torch ANN indexes (#1278, #1279) @LimbC-C - Normalize SQLite binary ANN similarity scores (#1281, #1282) @LimbC-C - Format nested HTML lists without duplicating items (#1284, #1286) @MohammadHijjawi97 - Keep uppercase tokens in alphanumeric tokenization with lowercase=False (#1285, #1287) @MohammadHijjawi97 - Open lazy SQLite connections before saving indexes (#1288, #1290) @LimbC-C - Include offset rows in similar() candidates (#1289, #1291) @devYRPauli - Pad batched inputs in the Summary pipeline (#1294, #1295) @Bdysj - Store only the quantized index in the RaBitQ backend (#1297) @pma1999 - Preserve integer document IDs and numeric column types in Tabular (#1298, #1299) @LimbC-C - Return OpenAI-compliant index, created and finish_reason from chat completions (#1300, #1301) @Bdysj - Delete the requested rows when ANN ids are a NumPy array (#1302, #1303) @kartsan03 - Support append and delete in the RaBitQ ivf mode (#1304) @pma1999 - Fix ordinary streaming output buffering with stripthink enabled (#1310, #1311) @tuanzirwar - Keep graph categories aligned with topics after a delete (#1313, #1315) @devYRPauli - Parse true and false as boolean literals in SQL queries (#1314, #1316) @devYRPauli - Keep all rows for native vstack merges with list inputs (#1319, #1320) @Zhuoxi2000 - Cache document token vectors in Reranker (#1321) @morgan-coded - Keep 0 and False in concat merge outputs (#1322, #1323) @Lesereingrape - Fix DuckDB bind parameters followed by a non-word character not being converted (#1324, #1325) @Lesereingrape - Decode bash tool output as UTF-8 instead of locale encoding (#1326, #1327) @manobhisriram - Skip NULL aggregate values from shards with no matching rows (#1330, #1331) @gauravch-code - Respect explicitly selected falsy ID column names in Tabular (#1332, #1333) @HuaTNA - Keep node id 0 in graph path search results (#1334, #1335) @MohammadHijjawi97 - docs: correct the workflow input tuple from (2, 2) to (2, 8) (#1336, #1337) @shabeeth2 - Keep DuckDB bind values in query order when a parameter repeats (#1338) @serhiizghama New Contributors -------------------------- - @pacocartones made their first contribution in https://github.com/neuml/txtai/pull/1210 - @joseph-bergin made their first contribution in https://github.com/neuml/txtai/pull/1212 - @Irahan2 made their first contribution in https://github.com/neuml/txtai/pull/1249 - @dingpuyu made their first contribution in https://github.com/neuml/txtai/pull/1256 - @linhongyu510 made their first contribution in https://github.com/neuml/txtai/pull/1243 - @LimbC-C made their first contribution in https://github.com/neuml/txtai/pull/1248 - @liugj0710 made their first contribution in https://github.com/neuml/txtai/pull/1250 - @HuaTNA made their first contribution in https://github.com/neuml/txtai/pull/1262 - @huiq777 made their first contribution in https://github.com/neuml/txtai/pull/1270 - @pma1999 made their first contribution in https://github.com/neuml/txtai/pull/1251 - @MohammadHijjawi97 made their first contribution in https://github.com/neuml/txtai/pull/1287 - @Bdysj made their first contribution in https://github.com/neuml/txtai/pull/1295 - @kartsan03 made their first contribution in https://github.com/neuml/txtai/pull/1303 - @Ni0ri made their first contribution in https://github.com/neuml/txtai/pull/1307 - @Zhuoxi2000 made their first contribution in https://github.com/neuml/txtai/pull/1320 - @Lesereingrape made their first contribution in https://github.com/neuml/txtai/pull/1325 - @manobhisriram made their first contribution in https://github.com/neuml/txtai/pull/1327 - @tuanzirwar made their first contribution in https://github.com/neuml/txtai/pull/1311 - @gauravch-code made their first contribution in https://github.com/neuml/txtai/pull/1331 - @shabeeth2 made their first contribution in https://github.com/neuml/txtai/pull/1337 **Full Changelog**: https://github.com/neuml/txtai/compare/v9.13.0...v9.14.0
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