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Based on the requirements and the existing TxtAI ecosystem, here's a proposed approach to develop LLM Integration for Knowledge Graph Enhancement:
1. Automatic Knowledge Graph Generation and Enrich…
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I learned a lot from your previous job, which was great.
But I can't find the address of the new paper. If you can send a PDF or URL, it will be a great help. Thank you very much.
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Hi,
I want to perform a fixed radius search with FLANN using the autotuned index (to minimize the search time). My problem involves a large number of point (about a million) at a dimension around 5 -…
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FLANN (http://www.cs.ubc.ca/research/flann/) is one of the most widely used library for approximate nearest neighbor search.
It is fast & reliable, available in Linux distro & Homebrew, and has a C i…
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### Description
Lucene always does an approximate nearest neighbors search when no filter is provided.
This seems like unnecessary work. Some benchmarks would have to be done, but some ideas I ha…
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## Using `recall` in combination with YQL
Using [recall](https://docs.vespa.ai/en/reference/query-api-reference.html#recall)
>This is identical to [filter](https://docs.vespa.ai/en/reference/que…
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When detecting renames between `m` and `n` files, as well as when it detects similarities in `git range-diff` between `m` and `n` commits, Git currently performs `m` times `n` comparisons, which is qu…
dscho updated
4 years ago
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I am using this library in my thesis project and I would like to cite it in my thesis. Beside the library itself, I also want to cite some academic stuff.
Are there any academic publication associate…
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### Title
Efficient and robust approximate nearest neighbor search using Hierarchical Navigable Small World graphs
### Link
https://arxiv.org/abs/1603.09320
### Year
2018
### Author and affiliat…