document-embedding

Top2Vec learns jointly embedded topic, document and word vectors.

Document chatbot — multiple files, topics, chat windows and chat history. Powered by GPT.

A Fast, Adaptive, Stable, and Transferable Topic Model (NeurIPS 2024)

Expose a Top2Vec model with a REST API.

🍊 PAUSE (Positive and Annealed Unlabeled Sentence Embedding), accepted by EMNLP'2021 🌴

Container-first, JSON-configurable, NLP REST service based on Flair

Word embedding in Java

We address the task of learning contextualized word, sentence and document representations with a hierarchical language model by stacking Transformer-based encoders on a sentence level and subsequently on a document level and performing masked token prediction.

Telegram Data Clustering Contest (Bossy Gnu's submission )

Dive into the world of Word2Vec and Doc2Vec models to uncover insights and applications.

An open-source framework to create and test document embeddings using topic models.

This Streamlit application demonstrates the integration of ChatGroq (Llama3 model), OpenAIEmbeddings, and FAISS for document embedding and retrieval.

A Chrome extension to provide semantic search over your browsing history.

Medical Retrieval-Augmented Generation (RAG) Knowledge Base - A Next.js and LangChain-powered app that processes and stores medical documents as vector embeddings in Pinecone for efficient similarity search.

Applying NLP to understand people's sentiment about Covid-19 and Government actions in Italy, conditional on their political affiliation.

LD Connect: A Linked Data Portal for IOS Press Scientometrics

Improving document embedding with weighted average of word embedding through topic modeling

Experiments on Neural Language Embeddings

Content-based book recommendation system