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RAG Development
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Showing 1–12 of 31
by Zylon
Complete API layer for private AI applications on local models: RAG, skills, tools, MCP, text-to-sql, and more. Works with any OpenAI-compatible inference server.
by StarTrail
The end of web parsing. The beginning of scalable pixel-native search. link
by GoMate
TrustRAG:The RAG Framework within Reliable input,Trusted output
by ✨Data Intelligence Lab@HKU✨
"RAG-Anything: All-in-One RAG Framework"
by Datawhale
📚 从零开始的向量数据库原理与实践教程,在线阅读地址:https://easy-vecdb.datawhale.cc/
by Alibaba
A lightweight, lightning-fast, in-process vector database
by N Sai Akhil
CORTEX RAG is an enterprise retrieval and knowledge assistant that helps teams find accurate answers from company data with citations, permission-aware retrieval, and fast deployment
by Xing Han Lu
Fast BM25 search in Python, powered by Numpy and Numba
by U14 App
A local-first AI chat workspace for models, agents, skills, plugins, search, RAG, voice, memory, and artifacts.
by Microsoft
PIKE-RAG: sPecIalized KnowledgE and Rationale Augmented Generation
by Answer.AI
Easily use and train state of the art late-interaction retrieval methods (ColBERT) in any RAG pipeline. Designed for modularity and ease-of-use, backed by research.
by LangChain
A managed RAG API server.