Platform for building personalized AI applications
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Updated
May 23, 2024 - Python
Platform for building personalized AI applications
Memory Management Service, a Long Term Memory Solution for AI
Question Answering Generative AI application with Large Language Models (LLMs) and Amazon OpenSearch Service
🔎 A vector based image search engine using Visual Transformer model type.
Hybrid Search demo on Movies Dataset using Couchbase with Native Python SDK & LangChain Vector Store integration & Streamlit
⚡️ Build quick LLM pipelines for AI applications
DocuMentor is a sophisticated chatbot application designed to assist users in extracting valuable information from uploaded PDF documents. Users can upload PDF files, chat with the AI chatbot to ask questions or seek information related to the document, and receive well-informed responses.
This Python Flask application is designed to process and rank resumes based on job descriptions. It uses Azure's Document Analysis Client for document processing, and a MongoDB database for storing job descriptions and resumes. The application also generates embeddings for the processed documents using AzureOpenAI.
Q&A Chatbot Demo using Couchbase, LangChain, OpenAI and Streamlit
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