MTEB: Massive Text Embedding Benchmark
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Updated
Jul 4, 2024 - Python
MTEB: Massive Text Embedding Benchmark
Embedding Representation for Indonesian Sentences!
Content Optimization code for Health Hub Articles
Find Python Packages on PyPI with the help of vector embeddings
Efficient few-shot learning with Sentence Transformers
AI powered ytp/sentence mixing for audio and video.
Efficient Retrieval Augmentation and Generation Framework
"FASHIO leverages FAISS and advanced NLP for precise fashion recommendations tailored to user preferences."
This repository is dedicated to exploring and implementing vector-based retrieval methods and reranking algorithms. It includes Jupyter notebooks with practical examples and code snippets that demonstrate how these techniques can be applied for efficient information retrieval in various datasets.
AI song recommendations based on the feel of a song
Embeddings from sentence-transformers in Android! Uses all-MiniLM-L6-V2 model currently
Web Application to retrieve relevant sentences from PDF files using sentence transformers
Site for skywardAI, AI-copilot for conversation
A Heterogeneous Benchmark for Information Retrieval. Easy to use, evaluate your models across 15+ diverse IR datasets.
Naive RAG implementation using LangChain + OpenAI GPT 3.5 + Sentence_Transformer + FAISS
Advanced algorithms for a grocery coupon recommendation system that increase customer engagement and revenue through personalized product recommendations and strategic discounts.
The project's goal is to help job seekers understand the basic qualifications for specific jobs and evaluate the suitability of their skills for those positions. Additionally, the program aims to assist recruiters in enhancing their resume selection processes by analyzing and understanding job advertisements ....
Local-GenAI-Search is a generative search engine based on Llama 3, langchain and qdrant that answers questions based on your local files
A library to calculate similarity scores between two collections of text sequences encoded using transformer models for bitext mining, dense retrieval, retrieval-based classification, and retrieval-augmented generation (RAG).
Movie Search Engine using Elastic Search, Sentence transformers and embedding
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