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-jinaai-rerank to install Jina Rerank package.
1 maintainer
Metadata
1 maintainer
Release files for llama-index-postprocessor-jinaai-rerank 0.6.0
For a detailed explanation of source distributions (sdists) and built distributions (wheels), please see the package formats documentation.
Source distribution (sdist)
| File | Size | Uploaded | Provenance | Actions |
|---|---|---|---|---|
| llama_index_postprocessor_jinaai_rerank-0.6.0.tar.gz | 4.4 kB | Without provenance | Details for llama_index_postprocessor_jinaai_rerank-0.6.0.tar.gz |
Built distribution (wheel)
| File | Interpreter | ABI | Platform | Actions Reset |
|---|---|---|---|---|
| llama_index_postprocessor_jinaai_rerank-0.6.0-py3-none-any.whl | Python 3 | none | any | Details for llama_index_postprocessor_jinaai_rerank-0.6.0-py3-none-any.whl |
Total release size: 8.5 kB
Release files / llama_index_postprocessor_jinaai_rerank-0.6.0.tar.gz
| Download URL | llama_index_postprocessor_jinaai_rerank-0.6.0.tar.gz |
|---|---|
| Size | 4.4 kB |
| Tags | Source |
|
SHA-256 checksum How to use checksums |
43536e458524b234f110ed620c1e80151ada5946e5b651a35f9760d5a64b2bca
|
|
BLAKE2b-256 checksum How to use checksums |
9e39e4660116e9e1c936d157adaa23dcbe649e3bfa0722fca4ee6fe98e672e9b
|
| Upload date | |
|
Uploaded using Trusted Publishing? What is trusted publishing? |
No |
| Uploaded via |
uv/0.12.7 {"installer":{"name":"uv","version":"0.12.7","subcommand":["publish"]},"python":null,"implementation":{"name":null,"version":null},"distro":{"name":"Ubuntu","version":"24.04","id":"noble","libc":null},"system":{"name":null,"release":null},"cpu":null,"openssl_version":null,"setuptools_version":null,"rustc_version":null,"ci":true}
|
Release files / llama_index_postprocessor_jinaai_rerank-0.6.0-py3-none-any.whl
| Download URL | llama_index_postprocessor_jinaai_rerank-0.6.0-py3-none-any.whl |
|---|---|
| Size | 4.1 kB |
| Tags | Python 3 |
|
SHA-256 checksum How to use checksums |
86a37d8e5514cf6e380e74bb9f89f371e241a7c36182b7b2e32f5b5fceaddd94
|
|
BLAKE2b-256 checksum How to use checksums |
75345fea48471ff2d30333fc07f9441b149aae863f76a6cf67b825662549804b
|
| Upload date | |
|
Uploaded using Trusted Publishing? What is trusted publishing? |
No |
| Uploaded via |
uv/0.12.7 {"installer":{"name":"uv","version":"0.12.7","subcommand":["publish"]},"python":null,"implementation":{"name":null,"version":null},"distro":{"name":"Ubuntu","version":"24.04","id":"noble","libc":null},"system":{"name":null,"release":null},"cpu":null,"openssl_version":null,"setuptools_version":null,"rustc_version":null,"ci":true}
|
Security for llama-index-postprocessor-jinaai-rerank 0.6.0
Provenance
Provenance describes where a file came from. On PyPI, provenance is shared via attestations, which provide a verifiable record of the build or publishing details. View details, limitations and caveats.
No provenance found
None of the files in this release were uploaded with provenance metadata.
A note on package security
PyPI is a repository for distributing packages, not a service for auditing them. While third-party security researchers and our staff do their best to detect and remove malicious packages, PyPI cannot guarantee the quality, security or suitability of any given package.
To learn more about protecting yourself from malicious actors, visit our package security documentation.
