Build RAG applications in Python with Gradient in minutes
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Updated
Apr 27, 2024 - Jupyter Notebook
Build RAG applications in Python with Gradient in minutes
An intelligent AI agent for RAG tasks, utilizes LlamaIndex and multiple LLM models to generate code seamlessly and save it to files automatically, leverages the Cloudflare Workers AI API for rapid LLM calls.
My Prompt engineerings, LLM, Llama, GPT, Gemini, Grok, Llamaindex, huggingface, LangChain, Pinecone, OpenAI, Next-Gen, LLMs
An AI-powered equity research analyst demo using Large Language Models to analyze 10-K filings of renowned NYSE listed companies.
Ask any question from your virtual HR using HRBuddy . Powered by llamaindex and chatgpt3.5
llama-index-go is a data framework for your LLM applications for Golang
Allows for a network analyst to query raw packet data with an LLM.
RAG System which is used to interact with PDF documents
Legal Assistant is an innovative application that leverages RAG (Retrieval-Augmented Generation) technology to deliver personalized legal advice and guidance based on Moroccan law.
AI agent to answer questions about my personal food blog
LlamaIndex Document Helper Chat Application This is a chat application powered by LlamaIndex, a Python library for building applications using large language models (LLMs). The application allows users to ask questions about LlamaIndex and receive responses from the assistant.
Sample code to demo the use of LlamaIndex with Azure OpenAI GPT-4 and Embedding models in RAG implementation.
an advanced monitoring and alerting system designed to help manage alerts. This project aims to provide a comprehensive solution for simulating various system environments, evaluating alerts and providing remediation recommendations
Considering how to analyse book collections, Large Language Model style
OpenAI, LLM, LangChain, LlamaIndex, Vector Search
A Platform for Retrieval Augmented Generation (RAG) for Question-Answering of E-Mails
A terminal quiz app for asking questions about the great gatsby
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