Just some initial learning for usage of AI models within .NET platform with Semantic Kernel APIs
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Updated
Aug 25, 2024 - C#
Just some initial learning for usage of AI models within .NET platform with Semantic Kernel APIs
Needle components for Haystack projects.
A medical NLP project developed for the WS2023 course, focusing on extracting, processing, and analyzing medical text data using advanced NLP techniques. This project aims to improve information retrieval and decision-making in healthcare.
Retrieval-Augmented Generation on YouTube transcripts and PDFs to deliver accurate and contextual answers.
Simple rag implementation for any WordPress blog. Leverages the bootstrap, python, milvus vector dB, and configurable options for LLM providers (Open AI, Anthropic) and embeddings.
use local LLMs to do Retrial-Augmented Generation with local Chroma, function calls and tool usage
Frontend Interface for a RAG Chatbot that provides information about the Federal University of Petroleum Resources
A chatbot that summarizes and analyzes PDF documents using Llama 2, Flask, and LangChain. Subsequently, you can post questions to the chatbot regarding the PDF's contents and get answers...
Data-Science-and-Insight-Agent-RAG-LLama3-Lava-LLM-Django-WebApplication is an advanced AI-driven chatbot designed to assist in data science, document analysis, and image interpretation. This repository contain the Django based rest apis of this project.
DocWise is a Django-based web application that manages medical consultations and reports. It features medical report processing, doctor registration, appointment booking, video calling via WebRTC, and a chatbot with Retrieval-Augmented Generation (RAG) for enhanced interactions.
The Django-based-Website-Code-generation-with-RAG-Llama3-Multi-AGI-of-Software-development leverages advanced technologies and specialized agents to streamline the entire software development lifecycle. This repository is django based rest api of this project
This project aims to use Retrieval Augmented Generation (RAG) techniques to build a question answering system.
Intent API is a tool for managing network devices, using Netmiko for SSH control and NetBox for network data, enabling vendor-agnostic, intent-based operations.
A question-answering framework empowered with a custom retrieval-augmented generation (RAG) pipeline to answer queries on local documents
Your Personalised Daily News Recommender.
Data-Science-and-Insight-Agent-RAG-LLama3-Lava-LLM-Django-WebApplication is an advanced AI-driven chatbot designed to assist in data science, document analysis, and image interpretation.This repository contain the Django based Web Application of this project.
The Django-based-Website-Code-generation-with-RAG-Llama3-Multi-AGI-of-Software-development leverages advanced technologies and specialized agents to streamline the entire software development lifecycle. This repository contains Django based Web Application
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