Factual package intelligence from PyPI

rag-doc-search 0.1.9 package intelligence

This package offers a lightweight and straightforward solution for implementing Retrieval-augmented generation (RAG) functionality with large language models (LLMs).

pip install rag-doc-search

Current version
0.1.9
Python requirement
<4.0,>=3.10
License
Not declared
Distribution type
Pure Python wheel
Release files
2 (1 wheels, 1 source)
Download size
28.2 KiB
Release history
7 releases with files
Median release cadence
12 days

rag-doc-search dependencies

PyPI declares 15 unique dependency rules for this release. Environment markers are shown when supplied by the project.

  1. boto3 <2.0.0,>=1.34.55
  2. botocore <2.0.0,>=1.34.55
  3. langchain <0.3.0,>=0.2.9
  4. opensearch-py <3.0.0,>=2.4.2
  5. faiss-cpu <2.0.0,>=1.8.0
  6. openai <2.0.0,>=1.35.15
  7. langchain-openai <0.2.0,>=0.1.17
  8. tiktoken <0.8.0,>=0.7.0
  9. pgvector <0.3.0,>=0.2.5
  10. psycopg2-binary <3.0.0,>=2.9.9
  11. setuptools <72.0.0,>=71.0.3
  12. django ==4.2.14
  13. jinja2 <4.0.0,>=3.1.4
  14. langchain-community <0.3.0,>=0.2.7
  15. langchain-aws <0.2.0,>=0.1.11

Compatibility and release files

rag-doc-search publishes 1 wheel and 1 source archive for version 0.1.9. Wheel platform tags: any.

Declared Python classifiers: 3.10, 3.11.

Metadata completeness

PyPI does not currently declare: license, project URL. PyDeps marks these fields as unknown instead of guessing values.

Release activity and sources

PyPI lists 7 releases with files. The first dated release is ; 7 releases fall within the 365 days preceding the latest dated release. The current release files were uploaded on . The preceding dated release was .

The project does not publish external project URLs in its PyPI metadata.