just-semantic-search-cuda 0.3.0

Core interfaces for hybrid search implementations (CUDA version)

just-semantic-search

LLM-agnostic semantic-search library with hybrid search support and multiple backends.

Features

• 🔍 Hybrid search combining semantic and keyword search
• 🚀 Multiple backend support (Meilisearch, more coming soon)
• 📄 Smart document splitting with semantic awareness
• 🔌 LLM-agnostic - works with any embedding model
• 🎯 Optimized for scientific and technical content
• 🛠 Easy to use API and CLI tools

Installation

Make sure you have at least Python 3.11 installed.

Using pip

pip install just-semantic-search        # Core package
pip install just-semantic-search-meili  # Meilisearch backend

Using Poetry

poetry add just-semantic-search        # Core package
poetry add just-semantic-search-meili  # Meilisearch backend

From Source

# Install Poetry if you haven't already
curl -sSL https://install.python-poetry.org | python3 -

# Clone the repository
git clone https://github.com/your-username/just-semantic-search.git
cd just-semantic-search

# Install dependencies and create virtual environment
poetry install

# Activate the virtual environment
poetry shell

Docker Setup for Meilisearch

The project includes a Docker Compose configuration for running Meilisearch. Simply run:

./bin/meili.sh

This will start a Meilisearch instance with vector search enabled and persistent data storage.

Quick Start

Document Splitting

from just_semantic_search.article_semantic_splitter import ArticleSemanticSplitter
from sentence_transformers import SentenceTransformer

# Initialize model and splitter
model = SentenceTransformer('thenlper/gte-base')
splitter = ArticleSemanticSplitter(model)

# Split document with metadata
documents = splitter.split_file(
    "path/to/document.txt",
    embed=True,
    title="Document Title",
    source="https://source.url"
)

Hybrid Search with Meilisearch

from just_semantic_search.meili.rag import MeiliConfig, MeiliRAG

# Configure Meilisearch
config = MeiliConfig(
    host="127.0.0.1",
    port=7700,
    api_key="your_api_key"
)

# Initialize RAG
rag = MeiliRAG(
    "test_index",
    "thenlper/gte-base",
    config,
    create_index_if_not_exists=True
)

# Add documents and search
rag.add_documents_sync(documents)
results = rag.search(
    text_query="What are CAD-genes?",
    vector=model.encode("What are CAD-genes?")
)

Project Structure

The project consists of multiple components:

• core: Core interfaces for hybrid search implementations
• meili: Meilisearch backend implementation

Contributing

Contributions are welcome! Please feel free to submit a Pull Request. For major changes, please open an issue first to discuss what you would like to change.

License

This project is licensed under the Apache 2.0 License - see the LICENSE file for details.

Citation

If you use this software in your research, please cite:

@software{just_semantic_search,
  title = {just-semantic-search: LLM-agnostic semantic search library},
  author = {Karmazin, Alex and Kulaga, Anton},
  year = {2024},
  url = {https://github.com/your-username/just-semantic-search}
}