LlamaIndex Retrievers Integration: Vectorize
Vectorize RAG-as-a-Service handles the messy, hard parts of AI development, so you can focus on building your applications.
Installation
pip install llama-index-retrievers-vectorize
Usage
from llama_index.retrievers.vectorize import VectorizeRetriever
retriever = VectorizeRetriever(
api_token="...",
organization="...",
pipeline_id="...",
)
retriever.retrieve("query")
1 maintainer
Metadata
1 maintainer
Release files for llama-index-retrievers-vectorize 0.3.1
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Source distribution (sdist)
| File | Size | Uploaded | Provenance | |
|---|---|---|---|---|
| llama_index_retrievers_vectorize-0.3.1.tar.gz | 3.9 kB | Without provenance | Details |
Built distribution (wheel)
| File | Interpreter | ABI | Platform | Reset |
|---|---|---|---|---|
| llama_index_retrievers_vectorize-0.3.1-py3-none-any.whl | Python 3 | none | any | Details |
Total release size: 7.3 kB
Release files / llama_index_retrievers_vectorize-0.3.1.tar.gz
| Download URL | llama_index_retrievers_vectorize-0.3.1.tar.gz |
|---|---|
| Size | 3.9 kB |
| Tags | Source |
|
SHA-256 checksum How to use checksums |
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|
Release files / llama_index_retrievers_vectorize-0.3.1-py3-none-any.whl
| Download URL | llama_index_retrievers_vectorize-0.3.1-py3-none-any.whl |
|---|---|
| Size | 3.3 kB |
| Tags | Python 3 |
|
SHA-256 checksum How to use checksums |
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No |
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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-retrievers-vectorize 0.3.1
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