retrieval
Here are 366 public repositories matching this topic...
⚡ Build your chatbot within minutes on your favorite device; offer SOTA compression techniques for LLMs; run LLMs efficiently on Intel Platforms⚡
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Oct 8, 2024 - Python
MTEB: Massive Text Embedding Benchmark
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Nov 23, 2024 - Jupyter Notebook
Study guides for MIT's 15.003 Data Science Tools
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Aug 23, 2020
A Heterogeneous Benchmark for Information Retrieval. Easy to use, evaluate your models across 15+ diverse IR datasets.
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Jul 28, 2024 - Python
Fast, Accurate, Lightweight Python library to make State of the Art Embedding
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Nov 21, 2024 - Python
The official implementation of RAPTOR: Recursive Abstractive Processing for Tree-Organized Retrieval
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Sep 3, 2024 - Python
A realtime serving engine for Data-Intensive Generative AI Applications
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Nov 22, 2024 - Rust
Epsilla is a high performance Vector Database Management System. Try out hosted Epsilla at https://cloud.epsilla.com/
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Aug 26, 2024 - C++
Fast lexical search implementing BM25 in Python using Numpy, Numba and Scipy
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Nov 13, 2024 - Python
An official implementation for "CLIP4Clip: An Empirical Study of CLIP for End to End Video Clip Retrieval"
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Apr 12, 2024 - Python
Implementation of RETRO, Deepmind's Retrieval based Attention net, in Pytorch
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Oct 30, 2023 - Python
SGPT: GPT Sentence Embeddings for Semantic Search
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Feb 17, 2024 - Jupyter Notebook
Grounded search engine (i.e. with source reference) based on LLM / ChatGPT / OpenAI API. It supports web search, file content search etc.
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Aug 25, 2024 - Python
My personal note about local and global descriptor
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Oct 21, 2020
A compute framework for building Search, RAG, Recommendations and Analytics over complex (structured+unstructured) data, with ultra-modal vector embeddings.
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Nov 21, 2024 - Jupyter Notebook
Implementation of Memorizing Transformers (ICLR 2022), attention net augmented with indexing and retrieval of memories using approximate nearest neighbors, in Pytorch
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Jul 17, 2023 - Python
Generative Representational Instruction Tuning
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Nov 18, 2024 - Jupyter Notebook
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