# ELESS - Evolving Low-resource Embedding and Storage System
[](https://www.python.org/downloads/)
[](https://opensource.org/licenses/MIT)
[](https://github.com/Bandalaro/eless)
[](https://github.com/psf/black)
A resilient RAG (Retrieval-Augmented Generation) data processing pipeline with comprehensive logging, multi-database support, and an intuitive CLI interface. Built for efficiency on low-resource systems while maintaining production-grade reliability.
## Features
- **Multi-Database Support**: ChromaDB, Qdrant, FAISS, PostgreSQL, Cassandra (install extras for full support)
- **Multiple File Formats**: PDF, DOCX, TXT, MD, HTML, and more (install parsers extra)
- **Resumable Processing**: Checkpoint-based system for interrupted workflows
- **Comprehensive Logging**: Structured logs with rotation and performance tracking
- **Smart Caching**: Content-based hashing and atomic manifest writes
- **Flexible Embeddings**: Support for various sentence-transformers models (install embeddings extra)
- **Memory Efficient**: Streaming processing for large files
- **Production Ready**: Graceful error handling and data safety features
- **CLI Interface**: Easy-to-use command-line tools
- **Modular Design**: Extensible architecture for custom parsers and databases
**Note**: ELESS gracefully handles missing optional dependencies with warnings. Install extras for full features. For Qdrant and PostgreSQL, ensure the database instances are running on the specified ports (default: Qdrant 6333, PostgreSQL 5432).
## Project Structure
For contributors, the project is organized as follows:
- `src/`: Source code for the ELESS package
- `tests/`: Unit and integration tests
- `docs/`: Documentation, including user guides, API reference, and contributing guidelines
- `tools/`: Utility scripts for deployment, packaging, and verification
- `config/`: Configuration files and templates
- `build/`: Build configuration files (setup.py, pyproject.toml, etc.)
## Quick Start
### Installation
```bash
# Install from source
git clone https://github.com/Bandalaro/eless.git
cd eless
pip install -e .
# Install with all features (recommended for full functionality)
pip install -e ".[full]"
# Or install specific extras
pip install -e ".[embeddings,databases,parsers]"
```
### Basic Usage
```bash
# Process documents with default settings
eless process /path/to/documents
# Process with specific database
eless process /path/to/documents --databases chroma
# Process with custom settings
eless process /path/to/documents --chunk-size 1000 --log-level DEBUG
# Check processing status
eless status --all
# Resume interrupted processing
eless process /path/to/documents --resume
```
### Python API
```python
from eless import ElessPipeline
import yaml
# Load configuration
with open("config/default_config.yaml") as f:
config = yaml.safe_load(f)
# Create and run pipeline
pipeline = ElessPipeline(config)
pipeline.run_process("/path/to/documents")
# Check status
files = pipeline.state_manager.get_all_files()
for file in files:
print(f"{file['path']}: {file['status']}")
```
## 📋 Requirements
### Core Dependencies
- Python 3.8+
- click >= 8.0.0
- PyYAML >= 6.0
- numpy >= 1.21.0
- psutil >= 5.8.0
### Optional Dependencies
**Embeddings:**
```bash
pip install sentence-transformers torch
```
**Databases:**
```bash
# ChromaDB
pip install chromadb langchain-community langchain-core
# Qdrant
pip install qdrant-client
# FAISS
pip install faiss-cpu # or faiss-gpu for GPU support
# PostgreSQL
pip install psycopg2-binary
# Cassandra
pip install cassandra-driver
```
**Document Parsers:**
```bash
pip install pypdf python-docx openpyxl pandas beautifulsoup4 lxml
```
**All Features:**
```bash
pip install -e ".[full]"
```
## 🏗️ Architecture
```
┌─────────────────────────────────────────┐
│ CLI Interface (Click) │
├─────────────────────────────────────────┤
│ ElessPipeline (Orchestrator) │
├──────────┬──────────┬───────────────────┤
│ Scanner │Dispatcher│ State Manager │
├──────────┼──────────┼───────────────────┤
│ Parsers │ Chunker │ Archiver │
├──────────┴──────────┼───────────────────┤
│ Embedder │ Resource Monitor │
├─────────────────────┼───────────────────┤
│ Database Loader │ Logging System │
└─────────────────────┴───────────────────┘
```
### Key Components
- **FileScanner**: Discovers and hashes files using SHA-256
- **Dispatcher**: Routes files to appropriate parsers
- **TextChunker**: Intelligent text segmentation with overlap
- **Embedder**: Generates vector embeddings with caching
- **DatabaseLoader**: Multi-database coordination
- **StateManager**: Tracks processing state with atomic writes
- **ResourceMonitor**: Adaptive resource management
## 🎛️ Configuration
Create a `config.yaml` file or modify `config/default_config.yaml`:
```yaml
# Logging
logging:
directory: .eless_logs
level: INFO
enable_console: true
# Embedding
embedding:
model_name: all-MiniLM-L6-v2
device: cpu
batch_size: 32
# Chunking
chunking:
chunk_size: 500
overlap: 50
strategy: semantic
# Databases
databases:
targets:
- chroma
connections:
chroma:
type: chroma
path: .eless_chroma
collection_name: eless_vectors
# Resource Limits
resource_limits:
max_memory_mb: 512
enable_adaptive_batching: true
# Streaming
streaming:
buffer_size: 8192
max_file_size_mb: 100
auto_streaming_threshold: 0.7
```
## Documentation
- **[Quick Start Guide](docs/QUICK_START.md)** - Get started in 5 minutes
- **[API Reference](docs/API_REFERENCE.md)** - Complete API documentation
- **[Developer Guide](docs/DEVELOPER_GUIDE.md)** - Contributing and development
- **[Documentation Index](docs/README.md)** - All documentation
## Use Cases
### Document Processing Pipeline
```bash
# Process research papers
eless process papers/ \
--databases chroma \
--chunk-size 1000 \
--log-level INFO
```
### RAG System Setup
```bash
# Index documentation
eless process docs/ \
--databases qdrant \
--databases faiss
# Query your RAG application
python query_rag.py "machine learning techniques"
```
### Batch Processing
```bash
# Process multiple directories
for dir in dataset1 dataset2 dataset3; do
eless process "$dir" --databases chroma --resume
done
```
## CLI Commands
### Process Documents
```bash
eless process <path> [OPTIONS]
Options:
--databases, -db <name> Select databases (repeatable)
--config <file> Custom configuration file
--resume Resume interrupted processing
--chunk-size <size> Override chunk size
--batch-size <size> Override batch size
--log-level <level> Set log level
--log-dir <path> Custom log directory
```
### Check Status
```bash
eless status [OPTIONS]
Options:
--all Show all tracked files
<file_id> Show specific file details
```
### System Management
```bash
eless config-info # Display configuration
eless test # Run system tests
eless logs [--days N] # Manage log files
```
## Testing
```bash
# Run all tests
pytest tests/
# Run specific test suite
pytest tests/test_cli.py -v
# Run with coverage
pytest tests/ --cov=src --cov-report=html
# Test results: 56/56 passing ✅
```
## Contributing
We welcome contributions! Please see [docs/CONTRIBUTING.md](docs/CONTRIBUTING.md) for guidelines.
### Development Setup
```bash
# Clone and setup
git clone https://github.com/Bandalaro/eless.git
cd eless
python3 -m venv venv
source venv/bin/activate
# Install development dependencies
pip install -e ".[dev,full]"
# Run tests
pytest tests/
# Format code
black src/ tests/
# Check linting
flake8 src/ tests/
```
## Performance
### Optimized for Low-Resource Systems
```yaml
resource_limits:
max_memory_mb: 256
enable_adaptive_batching: true
embedding:
batch_size: 8
streaming:
auto_streaming_threshold: 0.5
```
### High-Performance Configuration
```yaml
resource_limits:
max_memory_mb: 4096
embedding:
batch_size: 128
device: cuda
parallel:
enable: true
max_workers: 8
```
## Troubleshooting
### Common Issues
**Missing Dependencies:**
```bash
# Install embedding support
pip install sentence-transformers
# Install database support
pip install chromadb langchain-community
```
**Memory Issues:**
```yaml
# Reduce memory usage
embedding:
batch_size: 8
streaming:
auto_streaming_threshold: 0.5
```
**Slow Processing:**
```yaml
# Increase performance
embedding:
batch_size: 64
parallel:
enable: true
max_workers: 4
```
See [docs/QUICK_START.md](docs/QUICK_START.md#troubleshooting) for more solutions.
## Project Status
- **56/56 tests passing**
- **Zero warnings**
- **Production ready**
- **Comprehensive documentation**
- **Active development**
## Roadmap
- [ ] PyPI publication
- [ ] Additional database connectors (Milvus, Weaviate)
- [ ] Web interface
- [ ] Docker support
- [ ] Distributed processing
- [ ] Advanced query capabilities
## License
This project is licensed under the MIT License - see the [docs/LICENSE](docs/LICENSE) file for details.
## Acknowledgments
- Built with [sentence-transformers](https://www.sbert.net/)
- Supports [ChromaDB](https://www.trychroma.com/), [Qdrant](https://qdrant.tech/), and more
- Powered by the Python ecosystem
## Support
- **Issues**: [GitHub Issues](https://github.com/Bandalaro/eless/issues)
- **Discussions**: [GitHub Discussions](https://github.com/Bandalaro/eless/discussions)
- **Documentation**: [docs/](docs/)
## Star History
If you find ELESS useful, please consider giving it a star on GitHub!
---
**Made with love by [Bandalaro](https://github.com/Bandalaro)**
**Status: Production Ready** | **Version: 1.0.0**
Raw data
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"description": "# ELESS - Evolving Low-resource Embedding and Storage System\n\n[](https://www.python.org/downloads/)\n[](https://opensource.org/licenses/MIT)\n[](https://github.com/Bandalaro/eless)\n[](https://github.com/psf/black)\n\nA resilient RAG (Retrieval-Augmented Generation) data processing pipeline with comprehensive logging, multi-database support, and an intuitive CLI interface. Built for efficiency on low-resource systems while maintaining production-grade reliability.\n\n## Features\n\n- **Multi-Database Support**: ChromaDB, Qdrant, FAISS, PostgreSQL, Cassandra (install extras for full support)\n- **Multiple File Formats**: PDF, DOCX, TXT, MD, HTML, and more (install parsers extra)\n- **Resumable Processing**: Checkpoint-based system for interrupted workflows\n- **Comprehensive Logging**: Structured logs with rotation and performance tracking\n- **Smart Caching**: Content-based hashing and atomic manifest writes\n- **Flexible Embeddings**: Support for various sentence-transformers models (install embeddings extra)\n- **Memory Efficient**: Streaming processing for large files\n- **Production Ready**: Graceful error handling and data safety features\n- **CLI Interface**: Easy-to-use command-line tools\n- **Modular Design**: Extensible architecture for custom parsers and databases\n\n**Note**: ELESS gracefully handles missing optional dependencies with warnings. Install extras for full features. For Qdrant and PostgreSQL, ensure the database instances are running on the specified ports (default: Qdrant 6333, PostgreSQL 5432).\n\n## Project Structure\n\nFor contributors, the project is organized as follows:\n\n- `src/`: Source code for the ELESS package\n- `tests/`: Unit and integration tests\n- `docs/`: Documentation, including user guides, API reference, and contributing guidelines\n- `tools/`: Utility scripts for deployment, packaging, and verification\n- `config/`: Configuration files and templates\n- `build/`: Build configuration files (setup.py, pyproject.toml, etc.)\n\n## Quick Start\n\n### Installation\n\n```bash\n# Install from source\ngit clone https://github.com/Bandalaro/eless.git\ncd eless\npip install -e .\n\n# Install with all features (recommended for full functionality)\npip install -e \".[full]\"\n\n# Or install specific extras\npip install -e \".[embeddings,databases,parsers]\"\n```\n\n### Basic Usage\n\n```bash\n# Process documents with default settings\neless process /path/to/documents\n\n# Process with specific database\neless process /path/to/documents --databases chroma\n\n# Process with custom settings\neless process /path/to/documents --chunk-size 1000 --log-level DEBUG\n\n# Check processing status\neless status --all\n\n# Resume interrupted processing\neless process /path/to/documents --resume\n```\n\n### Python API\n\n```python\nfrom eless import ElessPipeline\nimport yaml\n\n# Load configuration\nwith open(\"config/default_config.yaml\") as f:\n config = yaml.safe_load(f)\n\n# Create and run pipeline\npipeline = ElessPipeline(config)\npipeline.run_process(\"/path/to/documents\")\n\n# Check status\nfiles = pipeline.state_manager.get_all_files()\nfor file in files:\n print(f\"{file['path']}: {file['status']}\")\n```\n\n## \ud83d\udccb Requirements\n\n### Core Dependencies\n- Python 3.8+\n- click >= 8.0.0\n- PyYAML >= 6.0\n- numpy >= 1.21.0\n- psutil >= 5.8.0\n\n### Optional Dependencies\n\n**Embeddings:**\n```bash\npip install sentence-transformers torch\n```\n\n**Databases:**\n```bash\n# ChromaDB\npip install chromadb langchain-community langchain-core\n\n# Qdrant\npip install qdrant-client\n\n# FAISS\npip install faiss-cpu # or faiss-gpu for GPU support\n\n# PostgreSQL\npip install psycopg2-binary\n\n# Cassandra\npip install cassandra-driver\n```\n\n**Document Parsers:**\n```bash\npip install pypdf python-docx openpyxl pandas beautifulsoup4 lxml\n```\n\n**All Features:**\n```bash\npip install -e \".[full]\"\n```\n\n## \ud83c\udfd7\ufe0f Architecture\n\n```\n\u250c\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2510\n\u2502 CLI Interface (Click) \u2502\n\u251c\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2524\n\u2502 ElessPipeline (Orchestrator) \u2502\n\u251c\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u252c\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u252c\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2524\n\u2502 Scanner \u2502Dispatcher\u2502 State Manager \u2502\n\u251c\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u253c\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u253c\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2524\n\u2502 Parsers \u2502 Chunker \u2502 Archiver \u2502\n\u251c\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2534\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u253c\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2524\n\u2502 Embedder \u2502 Resource Monitor \u2502\n\u251c\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u253c\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2524\n\u2502 Database Loader \u2502 Logging System \u2502\n\u2514\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2534\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2500\u2518\n```\n\n### Key Components\n\n- **FileScanner**: Discovers and hashes files using SHA-256\n- **Dispatcher**: Routes files to appropriate parsers\n- **TextChunker**: Intelligent text segmentation with overlap\n- **Embedder**: Generates vector embeddings with caching\n- **DatabaseLoader**: Multi-database coordination\n- **StateManager**: Tracks processing state with atomic writes\n- **ResourceMonitor**: Adaptive resource management\n\n## \ud83c\udf9b\ufe0f Configuration\n\nCreate a `config.yaml` file or modify `config/default_config.yaml`:\n\n```yaml\n# Logging\nlogging:\n directory: .eless_logs\n level: INFO\n enable_console: true\n\n# Embedding\nembedding:\n model_name: all-MiniLM-L6-v2\n device: cpu\n batch_size: 32\n\n# Chunking\nchunking:\n chunk_size: 500\n overlap: 50\n strategy: semantic\n\n# Databases\ndatabases:\n targets:\n - chroma\n connections:\n chroma:\n type: chroma\n path: .eless_chroma\n collection_name: eless_vectors\n\n# Resource Limits\nresource_limits:\n max_memory_mb: 512\n enable_adaptive_batching: true\n\n# Streaming\nstreaming:\n buffer_size: 8192\n max_file_size_mb: 100\n auto_streaming_threshold: 0.7\n```\n\n## Documentation\n\n- **[Quick Start Guide](docs/QUICK_START.md)** - Get started in 5 minutes\n- **[API Reference](docs/API_REFERENCE.md)** - Complete API documentation\n- **[Developer Guide](docs/DEVELOPER_GUIDE.md)** - Contributing and development\n- **[Documentation Index](docs/README.md)** - All documentation\n\n## Use Cases\n\n### Document Processing Pipeline\n```bash\n# Process research papers\neless process papers/ \\\n --databases chroma \\\n --chunk-size 1000 \\\n --log-level INFO\n```\n\n### RAG System Setup\n```bash\n# Index documentation\neless process docs/ \\\n --databases qdrant \\\n --databases faiss\n\n# Query your RAG application\npython query_rag.py \"machine learning techniques\"\n```\n\n### Batch Processing\n```bash\n# Process multiple directories\nfor dir in dataset1 dataset2 dataset3; do\n eless process \"$dir\" --databases chroma --resume\ndone\n```\n\n## CLI Commands\n\n### Process Documents\n```bash\neless process <path> [OPTIONS]\n\nOptions:\n --databases, -db <name> Select databases (repeatable)\n --config <file> Custom configuration file\n --resume Resume interrupted processing\n --chunk-size <size> Override chunk size\n --batch-size <size> Override batch size\n --log-level <level> Set log level\n --log-dir <path> Custom log directory\n```\n\n### Check Status\n```bash\neless status [OPTIONS]\n\nOptions:\n --all Show all tracked files\n <file_id> Show specific file details\n```\n\n### System Management\n```bash\neless config-info # Display configuration\neless test # Run system tests\neless logs [--days N] # Manage log files\n```\n\n## Testing\n\n```bash\n# Run all tests\npytest tests/\n\n# Run specific test suite\npytest tests/test_cli.py -v\n\n# Run with coverage\npytest tests/ --cov=src --cov-report=html\n\n# Test results: 56/56 passing \u2705\n```\n\n## Contributing\n\nWe welcome contributions! Please see [docs/CONTRIBUTING.md](docs/CONTRIBUTING.md) for guidelines.\n\n### Development Setup\n\n```bash\n# Clone and setup\ngit clone https://github.com/Bandalaro/eless.git\ncd eless\npython3 -m venv venv\nsource venv/bin/activate\n\n# Install development dependencies\npip install -e \".[dev,full]\"\n\n# Run tests\npytest tests/\n\n# Format code\nblack src/ tests/\n\n# Check linting\nflake8 src/ tests/\n```\n\n## Performance\n\n### Optimized for Low-Resource Systems\n```yaml\nresource_limits:\n max_memory_mb: 256\n enable_adaptive_batching: true\n\nembedding:\n batch_size: 8\n\nstreaming:\n auto_streaming_threshold: 0.5\n```\n\n### High-Performance Configuration\n```yaml\nresource_limits:\n max_memory_mb: 4096\n\nembedding:\n batch_size: 128\n device: cuda\n\nparallel:\n enable: true\n max_workers: 8\n```\n\n## Troubleshooting\n\n### Common Issues\n\n**Missing Dependencies:**\n```bash\n# Install embedding support\npip install sentence-transformers\n\n# Install database support\npip install chromadb langchain-community\n```\n\n**Memory Issues:**\n```yaml\n# Reduce memory usage\nembedding:\n batch_size: 8\nstreaming:\n auto_streaming_threshold: 0.5\n```\n\n**Slow Processing:**\n```yaml\n# Increase performance\nembedding:\n batch_size: 64\nparallel:\n enable: true\n max_workers: 4\n```\n\nSee [docs/QUICK_START.md](docs/QUICK_START.md#troubleshooting) for more solutions.\n\n## Project Status\n\n- **56/56 tests passing**\n- **Zero warnings**\n- **Production ready**\n- **Comprehensive documentation**\n- **Active development**\n\n## Roadmap\n\n- [ ] PyPI publication\n- [ ] Additional database connectors (Milvus, Weaviate)\n- [ ] Web interface\n- [ ] Docker support\n- [ ] Distributed processing\n- [ ] Advanced query capabilities\n\n## License\n\nThis project is licensed under the MIT License - see the [docs/LICENSE](docs/LICENSE) file for details.\n\n## Acknowledgments\n\n- Built with [sentence-transformers](https://www.sbert.net/)\n- Supports [ChromaDB](https://www.trychroma.com/), [Qdrant](https://qdrant.tech/), and more\n- Powered by the Python ecosystem\n\n## Support\n\n- **Issues**: [GitHub Issues](https://github.com/Bandalaro/eless/issues)\n- **Discussions**: [GitHub Discussions](https://github.com/Bandalaro/eless/discussions)\n- **Documentation**: [docs/](docs/)\n\n## Star History\n\nIf you find ELESS useful, please consider giving it a star on GitHub!\n\n---\n\n**Made with love by [Bandalaro](https://github.com/Bandalaro)**\n\n**Status: Production Ready** | **Version: 1.0.0**\n",
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