#大语言模型#RAFT contains fundamental widely-used algorithms and primitives for machine learning and information retrieval. The algorithms are CUDA-accelerated and form building blocks for more easily writing hig...
#大语言模型#Chat and Ask on your own data. Accelerator to quickly upload your own enterprise data and use OpenAI services to chat to that uploaded data and ask questions
#大语言模型#cuVS - a library for vector search and clustering on the GPU
#大语言模型#Harnessing the Memory Power of the Camelids
#向量搜索引擎#⚡ Faster vector search with PDX: A vertical data layout for vectors
Semantic product search on Databricks
#大语言模型#Sample Spring AI Application with several use cases
#大语言模型#🗲 A high-performance on-disk dictionary.
The official Elasticsearch .NET Vector Store Connector for Microsoft Semantic Kernel.
just testing langchain with llama cpp documents embeddings
#网络爬虫#Multi-User Chatbot with Langchain and Pinecone in Next.JS
A Question Generation Application leveraging RAG and Weaviate vector store to be able to retrieve relative contexts and generate a more useful answer-aware questions
AgriGenius: AI-Powered Agriculture Chatbot is a Python web application designed to empower farmers with information accessibility. AgriGenius leverages a Retrieval-Augmented Generation model to addres...
#向量搜索引擎#[OSDI'25] Achieving Low-Latency Graph-Based Vector Search via Aligning Best-First Search Algorithm with SSD
#计算机科学#The AI Assistant uses OpenAI's GPT models and Langchain for agent management and memory handling. With a Streamlit interface, it offers interactive responses and supports efficient document search wit...
#大语言模型#A command-line tool that ingests documents and generates instant answers to your questions about those documents using ChatGPT, giving you the Sheldon Cooper you never had at your fingertips.
A simple way to convert and manage files in vector storage.
In this we implements a Retrieval-Augmented Generation (RAG) based conversational AI agent designed for intelligent knowledge extraction from PDF documents. Leveraging LangChain and Google’s Gemini L...