llama-index postprocessor jinaai rerank integration
Project description
LlamaIndex Postprocessor Integration: Jina AI Rerank
Jina Rerank is based on Jina Reranking, which is a state-of-the-art reranking model in terms of
- Input context length - Jina Reranking is capable of accepting 8K-length input context
- Reranking performance - Jina Reranking outperforms other models on Mean Reciprocal Rank (MRR) and hit-rate, as shown in these benchmarks.
Please pip install llama-index-postprocessor-jine-rerank to install Jina Rerank package.
Project details
Release history Release notifications | RSS feed
Download files
Download the file for your platform. If you're not sure which to choose, learn more about installing packages.
Source Distribution
Built Distribution
Close
Hashes for llama_index_postprocessor_jinaai_rerank-0.1.2.tar.gz
Algorithm | Hash digest | |
---|---|---|
SHA256 | a6c80b1d61828273819ce017cc5d7ddd32ed6b363aa842befed1d7cf2348732a |
|
MD5 | 3288b877f105fe90ebd84799301b6640 |
|
BLAKE2b-256 | bbcc7c241416cc8a13e9654f867b1ca6377147369f60f4cc15f12d8911bd1766 |
Close
Hashes for llama_index_postprocessor_jinaai_rerank-0.1.2-py3-none-any.whl
Algorithm | Hash digest | |
---|---|---|
SHA256 | c2fb8637dad1fc9a7b37055102109deccb8c207bb6db562c772fc030f282ae07 |
|
MD5 | 138ac43b47137c843493f3d3dcd1e377 |
|
BLAKE2b-256 | 3fb214b8d339750afb9751548337ea0ca4aefcc51441da4a3ea2f8333e24c453 |