Results of 1 - 7 of about 7 for score (0.002 sec.)
- Full-Text Search Extension 11505
- Full-Text Search is an extension to DuckDB that allows for search through strings, similar to SQLite's FTS5 extension . Installing and Loading The fts extension will be transparently autoloaded on first use from the official extension repos
...field index for documents that are authored by Muhleisen . This retrieves doc1 : SELECT document_identifier, text_content, score FROM ( SELECT *, fts_main_documents.match_bm25( document_identifier, 'Muhleisen', fields := 'author' ) AS score FROM docum...ents ) sq WHERE score IS NOT NULL AND doc_version > 2 ORDER BY score DESC; document_identifier text_content score doc1 The mallard is a dabbling...the temperate. 0.0 Search for documents about small cats . This retrieves doc2 : SELECT document_identifier, text_content, score FROM ( SELECT *, fts_main_documents.match_bm25( document_identifier, 'small cats' ) AS score FROM documents ) sq WHERE sco... - https://man.mtool.work/duckdb/2.0/core_extensions/full_text_search.html
- Lance Extension 11323
- The lance extension adds support for reading and writing Lance tables. Lance is a modern lakehouse format optimized for ML/AI workloads, with native cloud storage support. Installing and Loading You can install the lance extension from Duck
...DB's core extensions repository and load it using the following commands: INSTALL AND LOAD lance; Usage Full SQL reference Cloud st...e the SQL reference for full parameter documentation . Full-Text Search (FTS) -- Search a text column, returning BM25-like scores in `_score` SELECT id, text, _score FROM lance_fts( '⟨path/to/dataset.lance⟩', 'text', 'puppy', k = 10, prefilter = true...) ORDER BY _score DESC; See the SQL reference for full parameter documentation . Hybrid Search (Vector + FTS) -- Combine vector and text sco... - https://man.mtool.work/duckdb/2.0/core_extensions/lance.html
- Full-Text Search 9524
- DuckDB supports full-text search via the fts extension . A full-text index allows for a query to quickly search for all occurrences of individual words within longer text strings. Example: Shakespeare Corpus Here's an example of building a
...d', 'text_entry'); The table is now ready to query using the Okapi BM25 ranking function. Rows with no match return a NULL score. What does Shakespeare say about butter? SELECT * FROM ( SELECT fts_main_corpus.match_bm25(line_id, 'butter') AS score, li...ne_id, play_name, speaker, text_entry FROM corpus ) sq WHERE score IS NOT NULL ORDER BY score DESC; score line_id play_name speaker text_entry 4.427313429798464 H4/2.4.494 Henry IV Carrier... - https://man.mtool.work/duckdb/2.0/guides/sql_features/full_text_search.html
- Vector Similarity Search Extension 9269
- The vss extension is an experimental extension for DuckDB that adds indexing support to accelerate vector similarity search queries using DuckDB's new fixed-size ARRAY type. See the announcement blog post and the “What's New in the Vector S
...le, haystack, search_vec, vec, 3) res; ┌───────┬─────────────────────────────────┬─────────────────────────────────────┐ │ score │ left_tbl │ right_tbl │ │ float │ struct(search_vec float[3]) │ struct(id integer, vec float[3]) │ ├───────┼─────────────...────────────────────────────────────────────────────────────────────────────┐ │ search_vec │ matches │ │ float[3] │ struct(score float, "row" struct(id integer, vec float[3]))[] │ ├─────────────────┼────────────────────────────────────────────────────...──────────────────────────────────────────────────────────────────────────────────────────────────┤ │ [5.0, 5.0, 5.0] │ [{'score': 0.0, 'row': {'id': 365, 'vec': [5.0, 5.0, 5.0]}}, {'score': 1.0, 'row': {'id': 364, 'vec': [5.0, 4.0, 5.0]}}, {'score':... - https://man.mtool.work/duckdb/2.0/core_extensions/vss.html
- Text Functions 8597
- Text Functions and Operators This section describes functions and operators for examining and manipulating STRING values . Function Description string[index] Extracts a single character using a (1-based) index . string[begin:end] Extracts a
...s of different cases (e.g., a and A ) are considered different. Returns a number between 0 and 1. jaro_similarity(s1, s2[, score_cutoff]) The Jaro similarity between two strings. Characters of different cases (e.g., a and A ) are considered different....Returns a number between 0 and 1. For similarity < score_cutoff , 0 is returned instead. score_cutoff defaults to 0. jaro_winkler_similarity(s1, s2[, score_cutoff]) The Jaro-Winkl...haracters of different cases (e.g., a and A ) are considered different. Returns a number between 0 and 1. For similarity < score_cutoff , 0 is returned instead. score_cutoff defaults to 0. levenshtein(s1, s2) The minimum number of single-character edi... - https://man.mtool.work/duckdb/2.0/sql/functions/text.html
- Out of Memory Errors 6888
- DuckDB has a state of the art out-of-core query engine that can spill to disk for larger-than-memory processing. We continuously strive to improve DuckDB's scalability and prevent out of memory errors whenever possible. That said, you may s
...s 54400 (duckdb) total-vm:1037911068kB, anon-rss:770031964kB, file-rss:0kB, shmem-rss:0kB, UID:1000 pgtables:1814612kB oom_score_adj:0 Troubleshooting Out-of-Memory Errors To prevent out-of-memory errors, please consult the “Out-of-Memory” issues page... - https://man.mtool.work/duckdb/2.0/guides/troubleshooting/oom_errors.html
- Create Synthetic Data 6452
- DuckDB lets you quickly generate synthetic datasets by combining a few building blocks: functions and clauses that generate rows , functions that generate values to fill those rows, and extensions that generate whole benchmark datasets. Thi
...ndom DOUBLE in the range [0, 1) , which you can scale and cast into any numeric range: SELECT (random() * 100)::INTEGER AS score FROM range(3); UUIDs Several utility functions generate universally unique identifiers, which make good synthetic primary... - https://man.mtool.work/duckdb/2.0/guides/snippets/create_synthetic_data.html
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