srswti-axis 1.1.3

eXplainable Inference & Search: an industry-ready library for advanced data retrieval and interpretable AI solutions

the future isn't centralized, it's personalized

srswti-axis (AI eXplainable Inference & Search) is an industry-ready machine learning library for advanced data retrieval and interpretable AI solutions. it provides a collection of powerful components and state-of-the-art capabilities that run entirely locally on your machine. we focused on efficient implementations that deliver high performance even on modest hardware.

for complete documentation, visit docs.srswti.com. visit srswti.com for our products, and check out our blog to learn more about our mission and the mathematical foundations behind our work.

Key features

• local intelligence—too cheap to meter, firewall-protected for privacy, on-premise steerable, and rendering benchmarks obsolete
• everything what llms do but much faster, averaging 50-100ms latency
• industry-ready
• zero-shot classification <70ms latency
• advanced text cleaning and preprocessing
• intelligent text analysis and ner
• document clustering and ranking
• neural-probabilistic hybrid search
• multi-strategy document merging
• multilingual translation support
• sentiment analysis

Installation

Requirements

• Python 3.9 - 3.11

Setting up Virtual Environment

# Create a new virtual environment using uv
uv venv --python 3.9

Activate the virtual environment

# On Unix/macOS
source .venv/bin/activate
# On Windows
.venv\Scripts\activate

Installing the Package

# Using uv
uv pip install srswti-axis
or 
pip install srswti-axis

Install Required Dependencies

# Inside activated virtual environment
srswti-axis-post-install