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a minimal local embedding database\u003c/b\u003e. \u003cbr /\u003e\n\u003c/p\u003e\n\n## Motivation\n\nThis project was done with the aim of reproducing some of my favourite features from existing vector stores while maintaining minimalism and simplicity.\n\n\u003e [!IMPORTANT]\n\u003e This is by no means scalable, but should suffice for smaller projects.\n\n## Installation\n\nInstall the package via PyPI:\n\n```bash\npip install iotadb\n```\n\n## Usage\n\nHere is a very simple example:\n\n```python\nfrom iotadb import IotaDB, Document\n\n# Define a list of documents\ndocs = [\n    Document(text=\"That is a happy dog\"),\n    Document(text=\"That is a very happy person\"),\n    Document(text=\"Today is a sunny day\")\n]\n\n# Create a collection\ndb = IotaDB()\ndb.create_collection(name=\"my_collection\", documents=docs)\n\n# Query documents within your collection\nresults = db.search(\"That is a happy person\", return_similarities=True)\n\nfor doc, score in results:\n    print(f\"Text: {doc.text}\")\n    print(f\"similarity: {score:.3f}\\n\")\n```\n\nMore examples can be found in the `/examples` directory.\n\n## Features\n\n- **Simple interface**: Easy-to-use API for database operations.\n- **Lightweight implementation**: Minimal resource utilization.\n- **Local storage**: Stores embeddings locally for fast and retrieval.\n- **Fast Indexing**: Efficient embedding indexing for storage and retrieval.\n\n## Use cases\n\n- **Query with Natural Language**: Search for relevant documents using simple natural language queries.\n- **Contextual Summarization**: Integrate documents into LLM contexts like GPT-3 for data-augmented tasks.\n- **Similarity Search**: Find similar items/documents based on their embeddings.\n\n## Contributing\n\nInterested in contributing? Head over to the [Contribution Guide](CONTRIBUTING.md) for more details.\n","project_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Ftimothyckl%2Fiota","html_url":"https://awesome.ecosyste.ms/projects/github.com%2Ftimothyckl%2Fiota","lists_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Ftimothyckl%2Fiota/lists"}