Ayush Chaurasia 03ef1dc081 feat: update default reranker to RRF (#1580) ...

- Both LinearCombination (the current default) and RRF are pretty fast
compared to model based rerankers. RRF is slightly faster.
- In our tests RRF has also been slightly more accurate.

This PR:
- Makes RRF the default reranker
- Removed duplicate docs for rerankers

2024-09-03 14:00:13 +05:30

..

answerdotai.md

feat: add answerdotai rerankers support and minor improvements (#1560)

2024-08-26 13:25:10 +05:30

cohere.md

docs : Update Reranking docs (#1213)

2024-04-11 15:20:00 +05:30

colbert.md

docs : Update Reranking docs (#1213)

2024-04-11 15:20:00 +05:30

cross_encoder.md

docs : Update Reranking docs (#1213)

2024-04-11 15:20:00 +05:30

custom_reranker.md

docs : Update Reranking docs (#1213)

2024-04-11 15:20:00 +05:30

index.md

feat: update default reranker to RRF (#1580)

2024-09-03 14:00:13 +05:30

jina.md

feat: add Jina integration in Python for Embedding and Reranker (#1424)

2024-07-05 01:34:43 +05:30

linear_combination.md

docs : Update Reranking docs (#1213)

2024-04-11 15:20:00 +05:30

openai.md

docs : Update Reranking docs (#1213)

2024-04-11 15:20:00 +05:30

rrf.md

docs: add rrf docs and update reranking notebook with Jina reranker results (#1474)

2024-07-25 22:29:46 +05:30