#大语言模型#Private chat with local GPT with document, images, video, etc. 100% private, Apache 2.0. Supports oLLaMa, Mixtral, llama.cpp, and more. Demo: https://gpt.h2o.ai/ https://gpt-docs.h2o.ai/
#大语言模型#An app to interact privately with your documents using the power of GPT, 100% privately, no data leaks
#自然语言处理#AIxplora is a open-source tool which let's you query all kind of files not limited to any length or format.
Using Langchain's ideas to build SpringBoot AI applications | 用langchain的思想，构建SpringBoot AI应用
Discover and converse with advanced AI models like Mistral, LLAMA2, and GPT-3.5 from leading sources like OLLAMA, Hugging Face, and OpenAI. Easily extract insights from PDFs, web pages, and YouTube vi...
#大语言模型#Chat with your docs in PDF/PPTX/DOCX format, using LangChain and GPT4/ChatGPT from both Azure OpenAI Service and OpenAI
#大语言模型#Using LlamaIndex, Redis, and OpenAI to chat with PDF documents. Supplementary material for blog post on Microsoft Developer Blog
An LLM GUI application; enables you to interact with your files, offering dynamic parameters that can modify response behavior during runtime.
#大语言模型#🧠 Quivr Chatbot extension - Instantly access Quivr, dump your files and chat with them using your Generative AI Second Brain using LLMs ( GPT 3.5/4, Private, Anthropic, VertexAI ) & Embeddings 🧠
#自然语言处理#Explore Multiple Vector Databases and chat with documents on Multiple LLM models, private LLM models
#大语言模型#Chatbot for Indian Law using Llama-7B-chat using Langchain integration and Streamlit UI.
#大语言模型#AIGC 知识库问答系统快速搭建，便于企业级定制化，支持文档上传，向量存储，聊天式问答。
#大语言模型#Ask question over your Notion Database! A naive Retrieval-Augmented Generation (RAG) pipeline backed by Langchain and Streamlit
Using Hugging Face Hub Embeddings with Langchain document loaders to do some query answering
#大语言模型#Integrated LLM-based document and data Q&A with knowledge graph visualization
This project is a reference implementation of the Hierarchical Navigable Small World graph paper by Malkov & Yashunin (2018) as a companion to the AWS presentation by Ben Duncan (Startup Solution Arch...