iota - a minimal local embedding database.
Motivation
WIP
Installation
Install the package via PyPI:
pip install iotadb
Usage
Here is a very simple example:
from iotadb import IotaDB, Document
# Define a list of documents
docs = [
Document(text="That is a happy dog"),
Document(text="That is a very happy person"),
Document(text="Today is a sunny day")
]
# Create a collection
db = IotaDB()
db.create_collection(name="my_collection", documents=docs)
# Query documents within your collection
results = db.search("That is a happy person", return_similarities=True)
for doc, score in results:
print(f"Text: {doc.text}")
print(f"similarity: {score:.3f}\n")
More examples can be found in the /examples directory.
Features
- Simple interface: Easy-to-use API for database operations.
- Lightweight implementation: Minimal resource utilization.
- Local storage: Stores embeddings locally for fast and retrieval.
- Fast Indexing: Efficient embedding indexing for storage and retrieval.
Use cases
- Query with Natural Language: Search for relevant documents using simple natural language queries.
- Contextual Summarization: Integrate documents into LLM contexts like GPT-3 for data-augmented tasks.
- Similarity Search: Find similar items/documents based on their embeddings.
Contributing
Interested in contributing? Head over to the Contribution Guide for more details.
1 maintainer
Metadata
1 maintainer
Release files for iotadb 0.0.15
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Source distribution (sdist)
| File | Size | Uploaded | |
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| iotadb-0.0.15.tar.gz | 6.4 kB | Details |
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| File | Interpreter | ABI | Platform | Reset |
|---|---|---|---|---|
| iotadb-0.0.15-py3-none-any.whl | Python 3 | none | any | Details |
Total release size: 12.9 kB
Release files / iotadb-0.0.15.tar.gz
| Download URL | iotadb-0.0.15.tar.gz |
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| Size | 6.4 kB |
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| Size | 6.5 kB |
| Tags | Python 3 |
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