$ loading_
Search and rerank bilingual scientific literature across indexed textbooks and papers.
Copy the install command and let the AI configure it · recommended for beginners
No copy-paste install info for "MMWRAG" yet — see the docs or source repo.
Use MMWRAG to search for “applications of multimodal retrieval-augmented generation in medical question answering,” then return the most relevant papers and textbook sections ranked by relevance.
A ranked list of relevant papers and textbook sections with key details for further reading.
Search bilingually for “applications of transformers in materials science,” and return both Chinese and English literature results, prioritizing high-quality sources.
Bilingual literature results reranked by quality and relevance for cross-language reading and comparison.
Use MMWRAG to search for “recent methods in protein structure prediction,” and identify representative recent papers, classic textbook content, and possible research threads.
A curated source list for review writing, including topical research threads and key references.
Search academic papers across seven databases with smart relevance ranking.
Use authenticated MCP tools for graph-augmented and hybrid RAG retrieval.
Intelligent RAG tool that chooses between private knowledge and web search.
Let AI securely query private local documents with persistent memory.
Connect AI to documents, embeddings, and semantic search through PostgREST APIs.
Turn unstructured documents into a searchable knowledge base for AI agents.