embedding-model
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langchain-chat is an AI-driven Q&A system that leverages OpenAI's GPT-4 model and FAISS for efficient document indexing. It loads and splits documents from websites or PDFs, remembers conversations, and provides accurate, context-aware answers based on the indexed data. Easy to set up and extend.
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Oct 11, 2023 - Python
LSTM with attention for time series predictions of stock prices using own Ticker Embedding model
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Jun 17, 2020 - Python
langchain-chat is an AI-driven Q&A system that leverages OpenAI's GPT-4 model and FAISS for efficient document indexing. It loads and splits documents from websites or PDFs, remembers conversations, and provides accurate, context-aware answers based on the indexed data. Easy to set up and extend.
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Apr 23, 2023 - Python
This is a research project for movie recommendation system using RL
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Nov 9, 2023 - Jupyter Notebook
PyTorch Implementation of the paper "Semantic Compression Embedding for Generative Zero-Shot Learning" accepted to IJCAI-2022
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Dec 22, 2022 - Python
App that answers questions about any YouTube video using its transcript. Built using Retrieval-Augmented Generation (RAG) with LangChain, vector stores, and LLMs.
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Jun 25, 2025 - Python
A UTCP manual for the Google Gemini embedding model, allowing any UTCP-compliant client to generate text embeddings.
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Jul 24, 2025
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