Chat with Lex! A RAG app, using HyDE with milvus DB for vector store, VLLM for LLM inference, and FastEmbed for Embeddings!
-
Updated
Jun 4, 2024 - Python
Chat with Lex! A RAG app, using HyDE with milvus DB for vector store, VLLM for LLM inference, and FastEmbed for Embeddings!
Welcome to the "LLM in Production" repository! This project aims to provide a comprehensive guide and resources for deploying and managing Large Language Models (LLMs) in production environments.
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.
A Streamlit-based application leveraging Llama Index for efficient vectorized document search and natural language querying.
Ask any question from your virtual HR using HRBuddy . Powered by llamaindex and chatgpt3.5
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.
Considering how to analyse book collections, Large Language Model style
An AI-powered equity research analyst demo using Large Language Models to analyze 10-K filings of renowned NYSE listed companies.
Simple RAG system using LlamaIndex
AI agent to answer questions about my personal food blog
Chatbot especializado em violência doméstica, à disposição das vítimas para lhes dar apoio. Experimental e sujeito à alucinação.
Retrieva: Smart Documentation Retrieval based on LLMs🤓
LlamaIndex RAG using Cassandra DB powered vectorstore with a knowledge graph
Add a description, image, and links to the llamaindex topic page so that developers can more easily learn about it.
To associate your repository with the llamaindex topic, visit your repo's landing page and select "manage topics."