update

docs/src/reranking/cohere.md

@@ -25,18 +25,19 @@ data = [
     {"text": "hello world"},
     {"text": "goodbye world"}
     ]
-tbl = db.create_table("test", data)
-reranker = CohereReranker(api_key="your_api_key")
+tbl = db.create_table("test", schema=Schema, mode="overwrite")
+tbl.add(data)
+reranker = CohereReranker(api_key="key")
 
 # Run vector search with a reranker
-result = tbl.query("hello").rerank(reranker).to_list() 
+result = tbl.search("hello").rerank(reranker=reranker).to_list() 
 
 # Run FTS search with a reranker
-result = tbl.query("hello", query_type="fts").rerank(reranker).to_list()
+result = tbl.search("hello", query_type="fts").rerank(reranker=reranker).to_list()
 
 # Run hybrid search with a reranker
-tbl.create_fts_index("text")
-result = tbl.query("hello", query_type="hybrid").rerank(reranker).to_list()
+tbl.create_fts_index("text", replace=True)
+result = tbl.search("hello", query_type="hybrid").rerank(reranker=reranker).to_list()
 
 ```
 

docs/src/reranking/colbert.md

@@ -10,7 +10,7 @@ import numpy
 import lancedb
 from lancedb.embeddings import get_registry
 from lancedb.pydantic import LanceModel, Vector
-from lancedb.rerankers import CrossEncoderReranker
+from lancedb.rerankers import ColbertReranker
 
 embedder = get_registry().get("sentence-transformers").create()
 db = lancedb.connect("~/.lancedb")
@@ -23,18 +23,19 @@ data = [
     {"text": "hello world"},
     {"text": "goodbye world"}
     ]
-tbl = db.create_table("test", data)
-reranker = CrossEncoderReranker()
+tbl = db.create_table("test", schema=Schema, mode="overwrite")
+tbl.add(data)
+reranker = ColbertReranker()
 
 # Run vector search with a reranker
-result = tbl.query("hello").rerank(reranker).to_list() 
+result = tbl.search("hello").rerank(reranker=reranker).to_list() 
 
 # Run FTS search with a reranker
-result = tbl.query("hello", query_type="fts").rerank(reranker).to_list()
+result = tbl.search("hello", query_type="fts").rerank(reranker=reranker).to_list()
 
 # Run hybrid search with a reranker
-tbl.create_fts_index("text")
-result = tbl.query("hello", query_type="hybrid").rerank(reranker).to_list()
+tbl.create_fts_index("text", replace=True)
+result = tbl.search("hello", query_type="hybrid").rerank(reranker=reranker).to_list()
 
 ```
 

docs/src/reranking/cross_encoder.md

@@ -23,18 +23,19 @@ data = [
     {"text": "hello world"},
     {"text": "goodbye world"}
     ]
-tbl = db.create_table("test", data)
-reranker = CrossEncoderReranker(api_key="your_api_key")
+tbl = db.create_table("test", schema=Schema, mode="overwrite")
+tbl.add(data)
+reranker = CrossEncoderReranker()
 
 # Run vector search with a reranker
-result = tbl.query("hello").rerank(reranker).to_list() 
+result = tbl.search("hello").rerank(reranker=reranker).to_list() 
 
 # Run FTS search with a reranker
-result = tbl.query("hello", query_type="fts").rerank(reranker).to_list()
+result = tbl.search("hello", query_type="fts").rerank(reranker=reranker).to_list()
 
 # Run hybrid search with a reranker
-tbl.create_fts_index("text")
-result = tbl.query("hello", query_type="hybrid").rerank(reranker).to_list()
+tbl.create_fts_index("text", replace=True)
+result = tbl.search("hello", query_type="hybrid").rerank(reranker=reranker).to_list()
 
 ```
 

docs/src/reranking/linear_combination.md

@@ -24,12 +24,13 @@ data = [
     {"text": "hello world"},
     {"text": "goodbye world"}
     ]
-tbl = db.create_table("test", data)
+tbl = db.create_table("test", schema=Schema, mode="overwrite")
+tbl.add(data)
 reranker = LinearCombinationReranker()
 
 # Run hybrid search with a reranker
-tbl.create_fts_index("text")
-result = tbl.query("hello", query_type="hybrid").rerank(reranker).to_list()
+tbl.create_fts_index("text", replace=True)
+result = tbl.search("hello", query_type="hybrid").rerank(reranker=reranker).to_list()
 
 ```
 

docs/src/reranking/openai.md

@@ -25,18 +25,19 @@ data = [
     {"text": "hello world"},
     {"text": "goodbye world"}
     ]
-tbl = db.create_table("test", data)
+tbl = db.create_table("test", schema=Schema, mode="overwrite")
+tbl.add(data)
 reranker = OpenaiReranker()
 
 # Run vector search with a reranker
-result = tbl.query("hello").rerank(reranker).to_list() 
+result = tbl.search("hello").rerank(reranker=reranker).to_list() 
 
 # Run FTS search with a reranker
-result = tbl.query("hello", query_type="fts").rerank(reranker).to_list()
+result = tbl.search("hello", query_type="fts").rerank(reranker=reranker).to_list()
 
 # Run hybrid search with a reranker
-tbl.create_fts_index("text")
-result = tbl.query("hello", query_type="hybrid").rerank(reranker).to_list()
+tbl.create_fts_index("text", replace=True)
+result = tbl.search("hello", query_type="hybrid").rerank(reranker=reranker).to_list()
 
 ```