#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#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#cuVS - a library for vector search and clustering on the GPU
#大语言模型#Harnessing the Memory Power of the Camelids
Semantic product search on Databricks
#大语言模型#🗲 A high-performance on-disk dictionary.
#向量搜索引擎#⚡ Faster vector search with PDX: A vertical data layout for vectors
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
#大语言模型#Sample Spring AI Application with several use cases
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...
#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...
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...
AI Data Assistant empowers data professionals by speaking both human language and machine langauges (SQL/Python)