{"id":"0c7ce779-8b21-42c7-95b8-b05c58129179","slug":"dify-pash-mongodb-rag","name":"MongoDB-RAG","description":"A semantic search pipeline that combines MongoDB Atlas Vector Search with VoyageAI embeddings and reranking for high-precision RAG retrieval.\r\n\r\nUser input is embedded using voyage-3.5, searched against a MongoDB Atlas vector index, and reranked with rerank-2.5 to surface the most relevant documents. Results are formatted via a template node for downstream LLM use.\r\n\r\nSuitable for knowledge bases, document Q&A, and AI agent memory retrieval.","capabilities":["workflow","operations","it","knowledge"],"protocols":[],"safetyScore":82,"overallRank":87.9,"trustScore":null,"trust":null,"source":"DIFY_MARKETPLACE","updatedAt":"2026-10-09T01:20:55.146Z"}