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https://github.com/lancedb/lancedb.git
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[Docs] Small typo fixes (#460)
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@@ -67,6 +67,11 @@ nav:
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- Home:
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- 🏢 Home: index.md
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- 💡 Basics: basic.md
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- 📚 Guides:
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- Tables: guides/tables.md
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- Vector Search: search.md
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- SQL filters: sql.md
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- Indexing: ann_indexes.md
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- 🧬 Embeddings: embedding.md
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- 🔍 Python full-text search: fts.md
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- 🔌 Integrations:
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@@ -91,12 +96,12 @@ nav:
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- Serverless Website Chatbot: examples/serverless_website_chatbot.md
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- YouTube Transcript Search: examples/youtube_transcript_bot_with_nodejs.md
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- TransformersJS Embedding Search: examples/transformerjs_embedding_search_nodejs.md
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- 📚 Guides:
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- Tables: guides/tables.md
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- Vector Search: search.md
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- SQL filters: sql.md
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- Indexing: ann_indexes.md
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- Basics: basic.md
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- Guides:
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- Tables: guides/tables.md
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- Vector Search: search.md
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- SQL filters: sql.md
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- Indexing: ann_indexes.md
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- Embeddings: embedding.md
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- Python full-text search: fts.md
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- Integrations:
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@@ -121,12 +126,6 @@ nav:
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- YouTube Transcript Search: examples/youtube_transcript_bot_with_nodejs.md
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- Serverless Chatbot from any website: examples/serverless_website_chatbot.md
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- TransformersJS Embedding Search: examples/transformerjs_embedding_search_nodejs.md
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- Guides:
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- Tables: guides/tables.md
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- Vector Search: search.md
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- SQL filters: sql.md
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- Indexing: ann_indexes.md
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- API references:
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- Python API: python/python.md
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- Javascript API: javascript/modules.md
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@@ -1,6 +1,6 @@
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# LanceDB
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LanceDB is an open-source database for vector-search built with persistent storage, which greatly simplifies retrevial, filtering and management of embeddings.
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LanceDB is an open-source database for vector-search built with persistent storage, which greatly simplifies retrieval, filtering and management of embeddings.
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@@ -8,7 +8,8 @@ excluded_globs = [
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"../src/embedding.md",
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"../src/examples/*.md",
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"../src/integrations/voxel51.md",
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"../src/guides/tables.md"
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"../src/guides/tables.md",
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"../src/python/duckdb.md",
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]
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python_prefix = "py"
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@@ -16,7 +16,7 @@ from __future__ import annotations
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import os
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from abc import ABC, abstractmethod
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from pathlib import Path
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from typing import Optional
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from typing import Optional, Union
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import pyarrow as pa
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from pyarrow import fs
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@@ -40,7 +40,7 @@ class DBConnection(ABC):
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self,
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name: str,
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data: Optional[DATA] = None,
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schema: Optional[pa.Schema, LanceModel] = None,
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schema: Optional[Union[pa.Schema, LanceModel]] = None,
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mode: str = "create",
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on_bad_vectors: str = "error",
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fill_value: float = 0.0,
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@@ -285,7 +285,7 @@ class LanceDBConnection(DBConnection):
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self,
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name: str,
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data: Optional[DATA] = None,
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schema: Optional[pa.Schema, LanceModel] = None,
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schema: Optional[Union[pa.Schema, LanceModel]] = None,
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mode: str = "create",
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on_bad_vectors: str = "error",
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fill_value: float = 0.0,
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@@ -75,7 +75,7 @@ def _to_record_batch_generator(data: Iterable, schema, on_bad_vectors, fill_valu
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class Table(ABC):
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"""
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A [Table](Table) is a collection of Records in a LanceDB [Database](Database).
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A Table is a collection of Records in a LanceDB Database.
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Examples
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--------
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@@ -511,7 +511,7 @@ class LanceTable(Table):
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other_table: Union[LanceTable, ReaderLike],
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left_on: str,
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right_on: Optional[str] = None,
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schema: Optional[pa.Schema, LanceModel] = None,
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schema: Optional[Union[pa.Schema, LanceModel]] = None,
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):
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"""Merge another table into this table.
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