Topic: "openaiembeddings"
GokulGowthamS/AskDocs_GEN-AI
AskDocs Generative AI
Language: Python - Size: 2.1 MB - Last synced at: about 1 month ago - Pushed at: about 1 month ago - Stars: 1 - Forks: 0
sushant1827/RAG_with_LangChain
Leveraging Langchain for a RAG (Retriever Augmented Generation) project, this implementation enables efficient querying across multiple books, enhancing data retrieval and natural language generation for context-rich answers.
Language: Python - Size: 2.71 MB - Last synced at: about 1 month ago - Pushed at: 3 months ago - Stars: 1 - Forks: 0
thebitanpaul/DataAnalyzerAi
It’s a very useful app to perform EDA in an interactive way. The LLM based chatbot suggests which Machine Learning Algorithm is appropriate for the provided dataset. Users can also download the generated data profile report. Offers interface for data profiling, excel view and pair plots.
Language: Python - Size: 4.16 MB - Last synced at: 9 months ago - Pushed at: 9 months ago - Stars: 1 - Forks: 0
ThirdEyeInfo/chat-with-multiple-web
Chat with multiple web pages
Language: Python - Size: 22.5 KB - Last synced at: 7 days ago - Pushed at: about 1 year ago - Stars: 1 - Forks: 0
avinashmyerolkar/Dialogix-Intelligent-Customer-Interaction-Bot
A state-of-the-art customer support chatbot! This repo houses code and resources for a conversational agent trained on real-world support interactions. Powered by LangChain, OpenAI Embedder, and Faiss Vector Database, it provides intelligent responses based on historical conversations.
Language: Python - Size: 18.6 KB - Last synced at: over 1 year ago - Pushed at: over 1 year ago - Stars: 1 - Forks: 0
chitralputhran/TextIntellect-AI-Text-File-Search
Web application that processes text files by converting their contents into embeddings using a Retrieval-Augmented Generation (RAG) approach.
Language: Python - Size: 22.5 KB - Last synced at: 2 months ago - Pushed at: 8 months ago - Stars: 0 - Forks: 0
vaibhavdangar09/Talk_with_PDF
Talk_with_PDF is a powerful, AI-driven solution designed to automate the extraction of information and generation of answers based on PDF documents. By integrating OpenAI's advanced language models and embeddings, this system provides accurate and contextually relevant responses, making it an invaluable tool for education, business, and research.
Language: Python - Size: 141 MB - Last synced at: 12 months ago - Pushed at: 12 months ago - Stars: 0 - Forks: 0
Pauullamm/LC_Pill_Checker
Experimenting with retrieval augmented generation (RAG) with the LangChain framework to identify tablets/capsules by their text description
Language: Jupyter Notebook - Size: 9.77 KB - Last synced at: about 1 year ago - Pushed at: about 1 year ago - Stars: 0 - Forks: 0
softdev629/chatbot-memo-backend
Chatbot Memo - Backend is a chatbot server which uses langchain framework
Language: Python - Size: 2.78 MB - Last synced at: 3 months ago - Pushed at: about 1 year ago - Stars: 0 - Forks: 0
eaintkyawthmu/azureopenai_mongodb_resume_ranking
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.
Language: Python - Size: 13.7 KB - Last synced at: about 1 year ago - Pushed at: about 1 year ago - Stars: 0 - Forks: 0
sahilichake/Q_-_A_with_Multiple_PDFs
Q & A with multiple pdf App is a Python application that allows you to ask questions about the PDFs you upload using natural language model to generate accurate answers to your queries.
Language: Python - Size: 11.7 KB - Last synced at: over 1 year ago - Pushed at: over 1 year ago - Stars: 0 - Forks: 0
softdev629/langchain-pdfqa
Question & Answer on PDF as knowledge data using langchain
Language: Python - Size: 1000 Bytes - Last synced at: 3 months ago - Pushed at: about 2 years ago - Stars: 0 - Forks: 0