Implement Approximate Nearest Neighbor (ANN) Search

[nickna]

Description:

Add Approximate Nearest Neighbor (ANN) search to Neighborly to balance speed and accuracy for large-scale vector searches.

Tasks:

• Research and choose an appropriate ANN algorithm (e.g., locality-sensitive hashing, product quantization).
• Implement the chosen ANN algorithm.
• Integrate the ANN search into the existing search framework.
• Write unit tests to ensure the correctness and performance of the ANN search.

Resources:

• Approximate Nearest Neighbor
• Locality-Sensitive Hashing

Impact:

ANN search will make Neighborly more efficient for large-scale applications, providing faster search results while maintaining acceptable accuracy.

How to Contribute:

1. Fork the repository and create a new branch for your changes.
2. Implement the ANN search algorithm.
3. Ensure all new and existing tests pass.
4. Submit a pull request with a detailed description of the changes.