FastAPI service to generate text embeddings. Currently supports instructor models and has GPU support.
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Updated
Oct 16, 2023 - Python
FastAPI service to generate text embeddings. Currently supports instructor models and has GPU support.
Scientific Research Assistant built with LLMs, Retrieval Augmented Generation, and Semantic Search.
A simple program that can perform social network analysis tasks on graph data.
a Q&A tool for Wikipedia context-informed GPT chat
A tool for identifying related text in large chunk of text
⚡ Scalable recommendation serving and vector similarity search
natural language model
The Power of Florence-2 with OpenVINO & FiftyOne: Real-World Applications in Image Analysis
This repository provides a streamlit application that enables a user to upload a screenshot which will than be queried against a database of PDF documents. Both the image structure as well as the (possibly) included text are used to find matching documents for a self defined set.
Documaster API is DocumentGPT. Ask questions / get summaries of pdf documents. Powered by OpenAI.
This repository, forked from Packt Publishing, serves as a comprehensive guide to LangChain and LLMs, encompassing all the resources and knowledge gained from the on-demand course.
Hybrid Question Answering System project, based on SQuAD Dataset.
Hybrid Question Answering System project, based on SQuAD Dataset
This project is a work-in-progress and serves as an experiment for context injection with GPT and code embeddings. The goal is to use GPT to develop the remaining features of the project.
A semantic search transformer model fine-tuned on the PyTorch GitHub issues dataset, hosted on Hugging Face, and integrated with Streamlit for easy use.
Multi domain adaption of quick sentiment analysis on mutliple catagories of task like classification of the nature of the reviews regrading various objects found in Amazon website
VecDB is a tool to help you to store, manage and compare embeddings vectors for machine learning applications.
Vectory provides a collection of tools to track and compare embedding versions.
Testing Embedding Server (Compatible OpenAI API). model from LLaMa/Mistral
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