GitHub - marsupialtail/rottnest: Data lake indices
This README is under construction as we work to build a new community driven high performance key-value store.
This project was forked from the open source Redis project right before the transition to their new source available licenses.
This README is just a fast quick start document. We are currently working on a more permanent documentation page.
W... See more
This project was forked from the open source Redis project right before the transition to their new source available licenses.
This README is just a fast quick start document. We are currently working on a more permanent documentation page.
W... See more
GitHub - valkey-io/valkey: A new project to resume development on the formerly open-source Redis project. We're calling it Valkey, like a Valkyrie.
Fast full-text search engine library written in Rust
If you are looking for an alternative to Elasticsearch or Apache Solr, check out Quickwit, our distributed search engine built on top of Tantivy.
Tantivy is closer to Apache Lucene than to Elasticsearch or Apache Solr in the sense it is not an off-the-shelf search engine server, but rather a crat... See more
If you are looking for an alternative to Elasticsearch or Apache Solr, check out Quickwit, our distributed search engine built on top of Tantivy.
Tantivy is closer to Apache Lucene than to Elasticsearch or Apache Solr in the sense it is not an off-the-shelf search engine server, but rather a crat... See more
GitHub - quickwit-oss/tantivy: Tantivy is a full-text search engine library inspired by Apache Lucene and written in Rust
nanosearch
Nanosearch is an in-memory search engine designed for small (< 10,000 URL) websites.
With Nanosearch, you can build a search engine in a few lines of code.
Nanosearch supports the BM25 and TF/IDF algorithms.
Nanosearch also computes a link graph and uses the number of inlinks to a page as a ranking factor. This is useful for ranking ... See more
Nanosearch is an in-memory search engine designed for small (< 10,000 URL) websites.
With Nanosearch, you can build a search engine in a few lines of code.
Nanosearch supports the BM25 and TF/IDF algorithms.
Nanosearch also computes a link graph and uses the number of inlinks to a page as a ranking factor. This is useful for ranking ... See more
GitHub - capjamesg/nanosearch: Build a search engine from a website sitemap.
2-5x faster 50% less memory local LLM finetuning
- Manual autograd engine - hand derived backprop steps.
- 2x to 5x faster than QLoRA. 50% less memory usage.
- All kernels written in OpenAI's Triton language.
- 0% loss in accuracy - no approximation methods - all exact.
- No change of hardware necessary. Supports NVIDIA GPUs since 2018+. Minimum CUDA Compute Cap