Mem0 is a scalable memory layer for AI agents that provides long-term, personalized, and efficient memory storage and retrieval.
RAG
Qwen-Agent is an open-source agent framework that provides tool calling, RAG, code interpreter and deployment examples to quickly build intelligent assistants and applications.
LlamaIndex is a data framework for LLM applications that helps structure and connect private data sources to models for retrieval-augmented generation.
Kaito is a Kubernetes AI Toolchain Operator that automates deployment and management of large-model inference and tuning workflows, with built-in RAG support and node auto-provisioning.
Haystack is an open-source framework for building retrieval-augmented generation (RAG) and semantic search applications by combining document stores, vector search, and LLMs.
Discover GraphRAG, an open-source project by Microsoft Research for extracting structured knowledge from text, enhancing retrieval and enabling advanced temporal queries.
LightRAG is a lightweight Retrieval-Augmented Generation toolkit that supports document indexing, graph extraction, and deployable server/core modes.
Encode millions of text chunks into portable MP4 files for millisecond semantic search and offline-first AI memory.
Vanna is an open-source RAG framework that converts natural language questions into executable SQL and runs them against local databases.
Discover dots.ocr, a powerful multilingual document parser that excels in layout detection and content recognition for enhanced document processing.