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This might not be the right place to ask this question, in which case, feel free to close the issue!
I'm using neighbor to build a RAG system using a vector db (pgvector).
I have a bunch of very…
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ann (approximate nearest neighbours) will be a licensed feature of Elasticsearch (not OSS).
We plan to implement prototypes of various algorithms for ann for different distance metrics:
- LSH and…
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## Introduction
This document outlines a high level proposal for providing efficient, yet easy to use k-NN in OpenSearch in low-memory environments. Many more details to come in individual compone…
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Hi everyone,
I'm following the example: visualization.py. My python works the line: import pcl. However, it does not run the line: import pcl.pcl_visualization
File "", line 1, in
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In this issue you can either:
- **Add papers** that you think are interesting to read and discuss (please stick to the format).
- **vote**: should be done using :+1: on comments
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Summary: the Chroma vectorstore search does not return top-scored embeds.
The issue appears only when the number of documents in the vector store exceeds a certain threshold (I have ~4000 chunks).
…
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## Introduction
The issue focuses on providing detailed design for integrating KNNVectorsFormat in Native Vector Search Engines (like NMSLib and FAISSLib). Apart from just moving to the new vector …
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**NOTE: This is an issue template for new partner pages we are building. Existing partners can use them to submit information needed as we build out enhanced pages. New partners, please continue to us…
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Current implementation of brute-force k-NN search takes $O(N^2 \times D)$ memory for sample size $N$ and dimension $D$. This quickly becomes intractable and can be reduced to $O(B \times N \times D)$ …
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This is the list of proposed tasks. It is to be extended. You can propose more tasks.
You can also find the previous lists here:
2022/2023: https://github.com/ClickHouse/ClickHouse/issues/42194
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