Popular GitHub Repositories for Mariadb Database

For developers, who are building real-time data-driven applications, Redis is the preferred, fastest, and most feature-rich cache, data structure server, and document and vector query engine.

A lightning-fast search engine API bringing AI-powered hybrid search to your sites and applications.

The all-in-one Desktop & Docker AI application with built-in RAG, AI agents, No-code agent builder, and more.

LlamaIndex is the leading framework for building LLM-powered agents over your data.

下一代 Node.js 和 TypeScript 对象关系映射 (ORM) 工具，支持 PostgreSQL、MySQL、MariaDB、SQL Server、SQLite、MongoDB 和 CockroachDB 数据库。

Opiniated RAG for integrating GenAI in your apps ? Focus on your product rather than the RAG. Easy integration in existing products with customisation! Any LLM: GPT4, Groq, Llama. Any Vectorstore: PGVector, Faiss. Any Files. Anyway you want.

The Memory layer for AI Agents

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, and more.

Qdrant - High-performance, massive-scale Vector Database and Vector Search Engine for the next generation of AI. Also available in the cloud https://cloud.qdrant.io/

???AI-driven database tool and SQL client, The hottest GUI client, supporting MySQL, Oracle, PostgreSQL, DB2, SQL Server, DB2, SQLite, H2, ClickHouse, and more.

the AI-native open-source embedding database

Chat with your database or your datalake (SQL, CSV, parquet). PandasAI makes data analysis conversational using LLMs and RAG.

? Chat with your SQL database ?. Accurate Text-to-SQL Generation via LLMs using RAG ?.

AI Native Data App Development framework with AWEL(Agentic Workflow Expression Language) and Agents

Machine Learning、Deep Learning、PostgreSQL、Distributed System、Node.Js、Golang

Weaviate is an open-source vector database that stores both objects and vectors, allowing for the combination of vector search with structured filtering with the fault tolerance and scalability of a cloud-native database?.

? All-in-one open-source embeddings database for semantic search, LLM orchestration and language model workflows

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.ai

Java version of LangChain

Video-based AI memory library. Store millions of text chunks in MP4 files with lightning-fast semantic search. No database needed.