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Document Q&a System with Voyage Context 3 Embeddings

by JimleukUpdated Aug 2026
RequiresMongoDBMongoDBOpenAI
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MaWhen clicking ‘Execute workflow’When clicking ‘…HRImport Research PaperImport Research…EFExtract from FileExtract from Fi…SOSplit PagesNOPage RefCoChunk Page TextHRVoyage-Context-3 EmbeddingsVoyage-Context-…SOSplit OutSILoop Over ItemsSeCombine Content & VectorsCombine Content…EWSubworkflow TriggerSubworkflow Tri…SIBatch 10EWCall Embeddings SubworkflowCall Embeddings…SeDoneHRVoyage-Context-3 Embeddings1Voyage-Context-…Perform Similarity SearchPerform Similar…SeAdd Page NumberSeSet VariablesWaWaitSeGet QueryAgAggregateNOQuery RefSILoop Over QuestionsLoop Over Quest…OpenAI Chat ModelOpenAI Chat Mod…IEGenerate Clarifying QuestionsGenerate Clarif…SOSplit QuestionsChWhen chat message receivedWhen chat messa…ChWait for AnswerChQuick ConfirmationQuick Confirmat…AgAggregate AnswersAggregate Answe…ChRespond to UserRAG AgentMDFetch Document By Page NumberFetch Document …SeCombine Content & MetadataCombine Content…Insert Document PageInsert Document…MeMergeChQuick UpdateInsert Documents VectorsInsert Document…Clear CollectionSIFor Each GroupNONo Operation, do nothingNo Operation, d…SOSplit Out1AgAggregate112345678910
1/5
FLOWS
STEPS · 10
Run manually by an operator

Manually triggered, embeds documents into MongoDB, then answers chat questions with OpenAI over the indexed knowledge base.

Tags

manualadvancedMongoDBOpenAIEngineeringAI RAGdiscoveredpending-review
Connects
mongodbMongoDBOpenAI
CategoryRAG & Knowledge Bases
Triggermanual
Complexityadvanced
Nodes43
AddedJun 27, 2026