Explore AI Tools & Discussions in Retrieval-Augmented Generation

Agent-as-a-Service platform that enables enterprises to build and deploy vertical AI agents without engineering overhead using no-code tools and RAG.

High-performance open-source vector database and similarity search engine designed for AI applications at massive scale.

SQL-compatible vector database for scalable AI applications with powerful vector search, full-text search, and metadata filtering capabilities.

Fully-managed vector database service built on Milvus, designed for speed, scale, and high performance AI applications.

Open source AI framework for building production-ready RAG pipelines and agentic AI applications with LLMs.

An open-source AI-native vector database for building search, RAG, and agentic AI applications at scale.

The toolkit for building AI chat and search applications with production-ready RAG infrastructure that delivers reliable answers without RAG expertise.

Transform multimodal unstructured data into structured formats ready for LLMs, AI agents, and automation at scale.

Open-source RAG engine based on deep document understanding for building AI agents with reliable context and truthful question-answering capabilities.

Docling converts messy documents into structured data with table detection, formula recognition, OCR, and reading order analysis for AI processing.