Chat with local LLM about your PDF and text documents, privacy ensured [llamaindex and llama3]
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Updated
Jun 2, 2024 - Python
Chat with local LLM about your PDF and text documents, privacy ensured [llamaindex and llama3]
LlamaIndex is a data framework for your LLM applications
LLPhant - A comprehensive PHP Generative AI Framework using OpenAI GPT 4. Inspired by Langchain
Too Long, Didn't Read, Let's Chat
This Python project demonstrates semantic search using MongoDB and two different LLM frameworks: LangChain and LlamaIndex. The goal is to load documents from MongoDB, generate embeddings for the text data, and perform semantic searches using both LangChain and LlamaIndex frameworks.
RAG system for an e-commerce support chatbot.
RestAI is an AIaaS (AI as a Service) open-source platform. Built on top of LlamaIndex, Ollama and HF Pipelines. Supports any public LLM supported by LlamaIndex and any local LLM suported by Ollama. Precise embeddings usage and tuning.
A RAG system is just the beginning of harnessing the power of LLM. The next step is creating an intelligent Agent. In Agentic RAG the Agent makes use of available tools, strategies and LLM to generate response in a specialized way. Unlike a simple RAG, an Agent can dynamically choose between tools, routing strategy, etc.
Simple agents are good for 1-to-1 retrieval system. For more complex task we need multi steps reasoning loop. In a reasoning loop the agent can break down a complex task into subtasks and solve them step by step while maintaining a conversational memory.
Developing a question-answering system using RAG and HYDE techniques based on the Lex Fridman Podcast Transcript dataset.
Docker implementation of Llama Index Agentic RAG. Developing a RAG system requires multiple component such as LLM, Vector-DB, UI, etc. In this work we perform containerization of entire system.
GenAI Experimentation
Considering how to analyse book collections, Large Language Model style
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
This repository contains code for how to store and query your own data using OpenAI Embeddings and Supabase using JavaScript.
AI-Assistant-Builder is a flexible platform that enables users to create their own AI assistants tailored to any profession or field. By customizing some data and values, users can effortlessly build specialized AI assistants such as an AI Doctor or an AI Lawyer.
Open source guides/codes for mastering deep learning to deploying deep learning in production in PyTorch, Python, Apptainer, and more.
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