retrieval-augmented-generation Tools
3 best retrieval-augmented-generation tools and apps, curated and ranked by community upvotes on ProductCool. Updated daily as new retrieval-augmented-generation products launch.
SIE is an open-source inference server and production cluster that allows developers to run all the models their AI agents need—from embeddings and rerankers to large language models—entirely within their own infrastructure. It solves the problem of vendor lock-in, data privacy concerns, and high costs associated with proprietary model APIs by providing a performant, self-hosted alternative. It's built for teams building production AI agents who require control, data sovereignty, and the ability to compose the best open models.
RAGFlow is an open-source Retrieval-Augmented Generation engine that builds a superior context layer for AI agents. It solves the problem of unreliable AI outputs by combining high-precision hybrid search with a built-in data ingestion pipeline and unified agent orchestration. It is designed for enterprises across industries like finance, legal, and manufacturing that need to build accurate, context-aware AI applications and workflows.
The ultimate RAG for your monorepo. Query, understand, and edit multi-language codebases with the power of AI and knowledge graphs