feat(python): Hybrid search & Reranker API (#824)

based on https://github.com/lancedb/lancedb/pull/713
- The Reranker api can be plugged into vector only or fts only search
but this PR doesn't do that (see example -
https://txt.cohere.com/rerank/)


### Default reranker -- `LinearCombinationReranker(weight=0.7,
fill=1.0)`

```
table.search("hello", query_type="hybrid").rerank(normalize="score").to_pandas()
```
### Available rerankers
LinearCombinationReranker
```
from lancedb.rerankers import LinearCombinationReranker

# Same as default 
table.search("hello", query_type="hybrid").rerank(
                                      normalize="score", 
                                      reranker=LinearCombinationReranker()
                                     ).to_pandas()

# with custom params
reranker = LinearCombinationReranker(weight=0.3, fill=1.0)
table.search("hello", query_type="hybrid").rerank(
                                      normalize="score", 
                                      reranker=reranker
                                     ).to_pandas()
```

Cohere Reranker
```
from lancedb.rerankers import CohereReranker

# default model.. English and multi-lingual supported. See docstring for available custom params
table.search("hello", query_type="hybrid").rerank(
                                      normalize="rank",  # score or rank
                                      reranker=CohereReranker()
                                     ).to_pandas()

```

CrossEncoderReranker

```
from lancedb.rerankers import CrossEncoderReranker

table.search("hello", query_type="hybrid").rerank(
                                      normalize="rank", 
                                      reranker=CrossEncoderReranker()
                                     ).to_pandas()

```

## Using custom Reranker
```
from lancedb.reranker import Reranker

class CustomReranker(Reranker):
    def rerank_hybrid(self, vector_result, fts_result):
           combined_res = self.merge_results(vector_results, fts_results) # or use custom combination logic
           # Custom rerank logic here
           
           return combined_res
```

- [x] Expand testing
- [x] Make sure usage makes sense
- [x] Run simple benchmarks for correctness (Seeing weird result from
cohere reranker in the toy example)
- Support diverse rerankers by default:
- [x] Cross encoding
- [x] Cohere
- [x] Reciprocal Rank Fusion

---------

Co-authored-by: Chang She <759245+changhiskhan@users.noreply.github.com>
Co-authored-by: Prashanth Rao <35005448+prrao87@users.noreply.github.com>

docs/mkdocs.yml

@@ -90,6 +90,7 @@ nav:
     - Building an ANN index: ann_indexes.md
     - Vector Search: search.md
     - Full-text search: fts.md
+    - Hybrid search: hybrid_search.md
     - Filtering: sql.md
     - Versioning & Reproducibility: notebooks/reproducibility.ipynb
     - Configuring Storage: guides/storage.md
@@ -151,6 +152,7 @@ nav:
     - Building an ANN index: ann_indexes.md
     - Vector Search: search.md
     - Full-text search: fts.md
+    - Hybrid search: hybrid_search.md
     - Filtering: sql.md
     - Versioning & Reproducibility: notebooks/reproducibility.ipynb
     - Configuring Storage: guides/storage.md