#大语言模型#The all-in-one Desktop & Docker AI application with built-in RAG, AI agents, No-code agent builder, and more.
#大语言模型#LlamaIndex is the leading framework for building LLM-powered agents over your data.
#大语言模型#The Memory layer for AI Agents
#大语言模型#Ready-to-run cloud templates for RAG, AI pipelines, and enterprise search with live data. 🐳Docker-friendly.⚡Always in sync with Sharepoint, Google Drive, S3, Kafka, PostgreSQL, real-time data APIs, a...
#搜索#Weaviate 是一个开源矢量数据库,它同时存储对象和矢量,允许将矢量搜索与结构化过滤与云原生数据库的容错和可扩展性相结合,所有这些都可以通过 GraphQL、REST 和各种语言客户端访问。
#搜索#All-in-one 一站式 embedding 数据库,语义搜索、LLM 编排和语言模型workflows
#搜索#🌌 A complete search engine and RAG pipeline in your browser, server or edge network with support for full-text, vector, and hybrid search in less than 2kb.
oceanbase 是蚂蚁集团自主研发的原生分布式数据库,连续 9 年稳定支撑双 11,凭借高性能和高可用真正实现应用无限扩展和服务永远在线 ,致力于为企业核心系统提供稳定可靠的数据底座。
#数据仓库#Database for AI. Store Vectors, Images, Texts, Videos, etc. Use with LLMs/LangChain. Store, query, version, & visualize any AI data. Stream data in real-time to PyTorch/TensorFlow. https://activeloop....
翻译 - 访问和管理PyTorch和TensorFlow数据集的最快方法。轻松构建可伸缩的数据管道。Leading Data 2.0 http://activeloop.ai
Private & local AI personal knowledge management app for high entropy people.
#大语言模型#Postgres with GPUs for ML/AI apps.
#数据库#MariaDB server is a community developed fork of MySQL server. Started by core members of the original MySQL team, MariaDB actively works with outside developers to deliver the most featureful, stable,...
翻译 - MariaDB服务器是社区开发的MySQL服务器分支。由原始MySQL团队的核心成员开始,MariaDB与外部开发人员积极合作,以提供业内功能最强大,最稳定和最合理的开放式SQL服务器。
#搜索#Developer-friendly, serverless vector database for AI applications. Easily add long-term memory to your LLM apps!
#搜索#基于 Redis 的搜索引擎,支持二级索引、全文搜索、向量搜索和聚合。
#时序数据库#CrateDB is a distributed and scalable SQL database for storing and analyzing massive amounts of data in near real-time, even with complex queries. It is PostgreSQL-compatible, and based on Lucene.
翻译 - CrateDB是一个分布式SQL数据库,可简化实时存储和分析大量机器数据的过程。
#大语言模型#Open Source Deep Research Alternative to Reason and Search on Private Data. Written in Python.