ClickHouse

In-process analytical SQL database

DuckDB is a high-performance analytical database that runs as an in-process SQL OLAP engine. Unlike traditional client-server databases, DuckDB embeds directly within your application, similar to SQLite but optimized for analytical queries. It supports complex SQL including window functions, CTEs, and nested types while processing columnar data with vectorized execution. DuckDB reads Parquet, CSV, JSON, and Arrow formats natively and integrates with Python and R data science workflows.

Enterprise RAG framework by Tencent

WeKnora is a Tencent-developed LLM-powered knowledge management and Q&A framework for enterprise document understanding and semantic retrieval. Supports 10+ document formats including PDF, Word, Excel, and images with seamless IM platform integration for WeCom, Feishu, Slack, and Telegram. Offers Quick Q&A mode using RAG pipelines and Intelligent Reasoning mode with ReACT agents for complex multi-step reasoning tasks across organizational knowledge bases.

Distributed AI compute engine for scaling Python and ML workloads

Ray is an open-source distributed computing framework built for scaling AI and Python applications from a laptop to thousands of GPUs. It provides libraries for distributed training, hyperparameter tuning, model serving, reinforcement learning, and data processing under a single unified API. Ray's public site highlights OpenAI and other enterprise users. Maintained by Anyscale with Apache-2.0 open-source licensing.

Unified framework for fine-tuning 100+ large language models

LLaMA-Factory is an open-source toolkit providing a unified interface for fine-tuning over 100 LLMs and vision-language models. It supports SFT, RLHF with PPO and DPO, LoRA and QLoRA for memory-efficient training, and continuous pre-training. The LLaMA Board web UI enables no-code configuration, while CLI and YAML workflows serve advanced users. Integrates with Hugging Face, ModelScope, vLLM, and SGLang for model deployment.

Serverless Postgres

Serverless Postgres platform separating storage and compute for branching, autoscaling, read replicas, instant restore, and scale-to-zero workloads. Neon works with standard PostgreSQL clients and ORMs, supports extensions such as pgvector, and sits inside a broader Neon backend platform with Auth, Data API, Functions, Object Storage, and AI Gateway features.

The open-source Firebase alternative

Open-source Firebase alternative providing a full backend-as-a-service on PostgreSQL. Auto-generated REST and GraphQL APIs from your schema, real-time subscriptions, built-in auth with 20+ social providers and Row Level Security, S3-compatible file storage with CDN, and Deno-powered Edge Functions. Visual dashboard with SQL editor and table editor. Supports pgvector for AI apps. Self-hostable or managed with a generous free tier. 75K+ GitHub stars.

TypeScript ORM that feels like SQL

Lightweight, serverless-ready TypeScript ORM with zero dependencies bringing SQL-like syntax into TypeScript for maximum type-safety. Maps queries closely to raw SQL with full auto-completion and type inference. Features Drizzle Kit for migrations, Drizzle Studio for visual browsing, supports PostgreSQL, MySQL, SQLite, and Turso. Runs on Node.js, Bun, Deno, Cloudflare Workers, and Vercel Edge. 26K+ GitHub stars, growing fast as a Prisma alternative.

High-performance vector database written in Rust for similarity search at scale.

Qdrant is a high-performance vector similarity search engine and database written in Rust. Designed for production-grade AI applications with advanced filtering, payload indexing, and distributed deployment. Supports billion-scale vector collections with sub-second query times. Popular choice for RAG, recommendation systems, and anomaly detection.