A FastAPI service for semantic text search using precomputed embeddings and advanced similarity measures, with built-in support for various file types through textract.

AI implementation using langchain4j and springAI frameworks with Java

ChatGPT, embedding search, and retrieval-augmented generation for Squeak/Smalltalk

DadmaTools is a Persian NLP tools developed by Dadmatech Co.

A web application that extracts, processes, and intelligently interacts with PDF content. Using natural language processing and vector embeddings, it transforms PDF text into high-dimensional vectors for efficient and accurate querying.

IntelliSearch is an advanced retrieval-based question-answering and recommendation system that leverages embeddings and a large language model (LLM) to provide accurate and relevant information to users.

An LSTM based music generation model trained on midi data. The model takes in a sequence of a certain length and learns to predict the next note.

RAG with langchain using Amazon Bedrock and Amazon OpenSearch

Plugin that creates a ChromaDB vector database to work with LM Studio running in server mode!

Mind-X is my intelligent alter ego that understands me the best. It assists with and resolves my bothersome tasks, growing in real-time as a next-generation PersonAI system.

A Dockerized Streamlit app leveraging a RAG LLM with FAISS to offer answers from uploaded markdown files, deployed on GCP Cloud.

Testing Embedding Server (Compatible OpenAI API). model from LLaMa/Mistral

A tool for identifying related text in large chunk of text

Two approaches to generating optimized embeddings in the Retrieval-Augmented Generation (RAG) Pattern

Interactive chat application leveraging OpenAI's GPT-4 for real-time conversation simulations. Built with Flask, this project showcases streaming LLM responses in a user-friendly web interface.

Efficient nearest neighbor search in Swift

NLP LSTM model to predict python codes (Text prediction) (Tokenized special characters)

A Fact chatbot is a project in which it read a txt file which consist all facts ahead of time and answer the user with some useful information regarding the same on the basis of facts provided in text file.

Text Processing RNN leverages RNN and LSTM models for advanced text processing. It features deep learning techniques for NLP tasks, utilizing GloVe for word embeddings, aimed at both educational and practical applications.

Ruby wrapper for the Weaviate vector search database API