Factual package intelligence from PyPI

ragsearch 0.1.5 package intelligence

ragsearch is a Python library designed for building a Retrieval-Augmented Generation (RAG) application that enables natural language querying over both structured and unstructured data. This tool leverages embedding models and a vector database (FAISS or ChromaDB) to provide an e

pip install ragsearch

Current version
0.1.5
Python requirement
<4.0,>=3.9
License
MIT
Distribution type
Pure Python wheel
Release files
2 (1 wheels, 1 source)
Download size
77.7 KiB
Release history
6 releases with files
Median release cadence
15 days

ragsearch dependencies

PyPI declares 6 unique dependency rules for this release. Environment markers are shown when supplied by the project.

  1. chromadb <2.0.0,>=1.0.20
  2. cohere <6.0.0,>=5.17.0
  3. faiss-cpu <2.0.0,>=1.12.0 when python_version >= "3.9" and python_version < "3.15"
  4. fastavro <2.0.0,>=1.12.0
  5. flask <4.0.0,>=3.1.2
  6. pandas <3.0.0,>=2.2.3

Compatibility and release files

ragsearch publishes 1 wheel and 1 source archive for version 0.1.5. Wheel platform tags: any.

Declared Python classifiers: 3.10, 3.11, 3.12, 3.13, 3.14, 3.9.

Release activity and sources

PyPI lists 6 releases with files. The first dated release is ; 3 releases fall within the 365 days preceding the latest dated release. The current release files were uploaded on . The preceding dated release was .