🪐️🔗 VectorCraft
⚡ Build advanced vector querying applications ⚡
VectorCraft is a fork of the LangChain framework focused on enhancing vector querying capabilities, especially for negative embeddings. It aims to provide more robust and flexible options for retrieving and interacting with vector data.
🌟 Key Features
- Negative Embedding Support: VectorCraft introduces advanced logic for handling negative embeddings, enabling more nuanced and accurate vector querying.
- Enhanced Retrieval Strategies: Explore a range of powerful retrieval techniques optimized for vector data, including cosine similarity, Euclidean distance, and more.
1 maintainer
Metadata
1 maintainer
Release files for vectorcraft 0.2.2
For a detailed explanation of source distributions (sdists) and built distributions (wheels), please see the package formats documentation.
Source distribution (sdist)
| File | Size | Uploaded | |
|---|---|---|---|
| vectorcraft-0.2.2.tar.gz | 1.2 MB | Details |
Built distribution (wheel)
| File | Interpreter | ABI | Platform | Reset |
|---|---|---|---|---|
| vectorcraft-0.2.2-py3-none-any.whl | Python 3 | none | any | Details |
Total release size: 3.0 MB
Release files / vectorcraft-0.2.2.tar.gz
| Download URL | vectorcraft-0.2.2.tar.gz |
|---|---|
| Size | 1.2 MB |
| Tags | Source |
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SHA-256 checksum How to use checksums |
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BLAKE2b-256 checksum How to use checksums |
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| Upload date | |
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Uploaded using Trusted Publishing? What is trusted publishing? |
No |
| Uploaded via |
twine/5.0.0 CPython/3.11.7
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Release files / vectorcraft-0.2.2-py3-none-any.whl
| Download URL | vectorcraft-0.2.2-py3-none-any.whl |
|---|---|
| Size | 1.8 MB |
| Tags | Python 3 |
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SHA-256 checksum How to use checksums |
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BLAKE2b-256 checksum How to use checksums |
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| Upload date | |
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Uploaded using Trusted Publishing? What is trusted publishing? |
No |
| Uploaded via |
twine/5.0.0 CPython/3.11.7
|
