Harness the Power of Intelligent Search to Uncover Relevant Information from your Documents Instantly using generative AI
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Updated
Aug 22, 2024 - TypeScript
Harness the Power of Intelligent Search to Uncover Relevant Information from your Documents Instantly using generative AI
Django-based text utility service, offering multi-language translation, sentiment analysis, and text summarization, all seamlessly deployed on AWS Lambda with Docker for robust and scalable performance.
Literature Review Generator
This project allows you to search for academic papers on arXiv, download and process them, and generate responses to specific questions using embeddings and language models. The application leverages several tools including Gradio for the interface, ChromaDB for embedding storage, and LangChain for text processing.
Trackify offers helpful insights, including thorough descriptions of the CV's strengths, recommendations for improving skills, the discovery of missing keywords, and an overall percentage match, by examining the content of the job description and the resume.
Users can upload documents and seamlessly ask questions about their content, leveraging Retrieval-Augmented Generation (RAG) for precise and context-aware answers.
Add a description, image, and links to the langhchain topic page so that developers can more easily learn about it.
To associate your repository with the langhchain topic, visit your repo's landing page and select "manage topics."