Efficient Retrieval Augmentation and Generation Framework
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Updated
Nov 24, 2024 - Python
Efficient Retrieval Augmentation and Generation Framework
Simple customizable evaluation for text retrieval performance of Sentence Transformers embedders on PDFs
The Fastest State-of-the-Art Static Embeddings in the World
MTEB: Massive Text Embedding Benchmark
Manage a songs database using an HTTPS REST API supporting natural language searches.
Similarity detection for Github Issues + AI code reviews
ML Bot is a RAG Application built using google/gemma-2b-it local LLM
Language Models as Hierarchy Encoders
Pipeline to embed .txt documents and cluster them according to their topic.
Machine Learning and NLP models for improving text-based recommendations on TripAdvisor, using BM25, TF-IDF, embeddings, and a Hybrid approach.
A starting take on a fast and fully local NLP file organizer that organizes files based on their content.
Sentence-transformer model for payments classification. Fine-tuned from rubert-tiny-turbo
Booked is an intuitive app providing personalized book recommendations using vector search, connecting readers in a clean, community-driven space for all their book needs.
Top2Vec learns jointly embedded topic, document and word vectors.
AI-Powered Developer Search helps find top developers by skills, experience, and location using a MongoDB database. It utilizes GPT-4 for query refinement and cosine similarity for matching. AI-Powered Resume Search quickly finds matching resumes with vector embeddings and FAISS, optimizing candidate selection.
MINERS Fork⛏️: OTU CSCI 6720 - Extending on ICL and DPR
Simple API to upload images, store them in S3 and find other similar images among the uploaded ones. Created for a take home interview assignment.
Developing a retrieval system using semantic vector search.
Detect AI generated coding answers
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