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AI-Driven Chat and Data Processing Workflow

AI-Driven Chat and Data Processing Workflow is a 23-node automation blueprint connecting OpenAI, Google Drive, Qdrant. Inspect its trigger, execution graph, branches, and implementation requirements.

OpenAIGoogle DriveQdrantZendesk

Interactive system map

Follow the runtime. Inspect what supports it.

Solid horizontal paths show main-channel execution. Violet dependencies sit beneath the exact step they configure or empower.

23

Nodes

21

Links

3

Run groups

Connected tools

4 integrations

  • OpenAI
  • Google Drive
  • Qdrant
  • Zendesk

Canvas controls

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AI-Driven Chat and Data Processing Workflow execution lanes3 run groups containing 23 workflow nodes and 21 visible links. Solid horizontal lines are main-channel runtime links. Violet dashed lines connect typed dependencies beneath the runtime step they support. Focus any node to inspect its immediate path.Get all Zendesk Tickets. integration node, zendesk. 0 incoming and 1 outgoing connections.STARTGet all Zendesk TicketsINTEGRATIONZENDESK0 IN / 1 OUTLoop Over Items. integration node, splitInBatches. 2 incoming and 1 outgoing connections.STEP 02Loop Over ItemsINTEGRATIONSPLITINBATCHES2 IN / 1 OUTAI Agent1. ai node, agent. 4 incoming and 1 outgoing connections.STEP 03AI Agent1AIAGENT4 IN / 1 OUTUpdate Zendesk with Mitre Data. integration node, zendesk. 1 incoming and 1 outgoing connections.STEP 04Update Zendesk with Mitre…INTEGRATIONZENDESK1 IN / 1 OUTMove on to next ticket. integration node, noOp. 1 incoming and 1 outgoing connections.OUTCOMEMove on to next ticketINTEGRATIONNOOP1 IN / 1 OUTOpenAI Chat Model1. OpenAI node, lmChatOpenAi. 0 incoming and 1 outgoing connections.DEPENDENCY · DEPTH 1OpenAI Chat Model1OPENAILMCHATOPENAI0 IN / 1 OUTQdrant Vector Store query. ai node, vectorStoreQdrant. 1 incoming and 1 outgoing connections.DEPENDENCY · DEPTH 1Qdrant Vector Store queryAIVECTORSTOREQDRANT1 IN / 1 OUTStructured Output Parser. ai node, outputParserStructured. 0 incoming and 1 outgoing connections.DEPENDENCY · DEPTH 1Structured Output ParserAIOUTPUTPARSERSTRUCTURED0 IN / 1 OUTEmbeddings OpenAI. OpenAI node, embeddingsOpenAi. 0 incoming and 1 outgoing connections.DEPENDENCY · DEPTH 2Embeddings OpenAIOPENAIEMBEDDINGSOPENAI0 IN / 1 OUTWhen chat message received. trigger node, chatTrigger. 0 incoming and 1 outgoing connections.STARTWhen chat message receivedTRIGGERCHATTRIGGER0 IN / 1 OUTAI Agent. ai node, agent. 4 incoming and 0 outgoing connections.OUTCOMEAI AgentAIAGENT4 IN / 0 OUTOpenAI Chat Model. OpenAI node, lmChatOpenAi. 0 incoming and 1 outgoing connections.DEPENDENCY · DEPTH 1OpenAI Chat ModelOPENAILMCHATOPENAI0 IN / 1 OUTWindow Buffer Memory. ai node, memoryBufferWindow. 0 incoming and 1 outgoing connections.DEPENDENCY · DEPTH 1Window Buffer MemoryAIMEMORYBUFFERWINDOW0 IN / 1 OUTQuery Qdrant Vector Store. ai node, vectorStoreQdrant. 1 incoming and 1 outgoing connections.DEPENDENCY · DEPTH 1Query Qdrant Vector StoreAIVECTORSTOREQDRANT1 IN / 1 OUTEmbeddings OpenAI2. OpenAI node, embeddingsOpenAi. 0 incoming and 1 outgoing connections.DEPENDENCY · DEPTH 2Embeddings OpenAI2OPENAIEMBEDDINGSOPENAI0 IN / 1 OUTWhen clicking ‘Test workflow’. trigger node, manualTrigger. 0 incoming and 1 outgoing connections.STARTWhen clicking ‘Test workf…TRIGGERMANUALTRIGGER0 IN / 1 OUTPull Mitre Data From Gdrive. Google Drive node, googleDrive. 1 incoming and 1 outgoing connections.STEP 02Pull Mitre Data From GdriveGOOGLE DRIVEGOOGLEDRIVE1 IN / 1 OUTExtract from File. integration node, extractFromFile. 1 incoming and 1 outgoing connections.STEP 03Extract from FileINTEGRATIONEXTRACTFROMFILE1 IN / 1 OUTSplit Out. transform node, splitOut. 1 incoming and 1 outgoing connections.STEP 04Split OutTRANSFORMSPLITOUT1 IN / 1 OUTEmbed JSON in Qdrant Collection. ai node, vectorStoreQdrant. 3 incoming and 0 outgoing connections.OUTCOMEEmbed JSON in Qdrant Coll…AIVECTORSTOREQDRANT3 IN / 0 OUTEmbeddings OpenAI1. OpenAI node, embeddingsOpenAi. 0 incoming and 1 outgoing connections.DEPENDENCY · DEPTH 1Embeddings OpenAI1OPENAIEMBEDDINGSOPENAI0 IN / 1 OUTDefault Data Loader. ai node, documentDefaultDataLoader. 1 incoming and 1 outgoing connections.DEPENDENCY · DEPTH 1Default Data LoaderAIDOCUMENTDEFAULTDATALOAD1 IN / 1 OUTToken Splitter1. ai node, textSplitterTokenSplitter. 0 incoming and 1 outgoing connections.DEPENDENCY · DEPTH 2Token Splitter1AITEXTSPLITTERTOKENSPLITT0 IN / 1 OUT

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Main-channel runtimeTyped dependencytriggeraidecisiontransformintegration
Scroll horizontally to follow every connected flow.23 connected nodesEnter or click to lock · Escape to clear

Runtime breakdown

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Each run group separates main-channel steps from the models, tools, retrievers, and data services that support them. Start and outcome labels apply only to runtime nodes.

01

Run Group

Get all Zendesk Tickets

5 Execution Links4 Support Dependencies

  1. Start

    Get all Zendesk Tickets

    Integration

  2. Step 2

    Loop Over Items

    Integration

  3. Step 3

    AI Agent1

    AI reasoning

  4. Step 4

    Update Zendesk with Mitre Data

    Integration

  5. Outcome

    Move on to next ticket

    Integration

Attached dependencies

These nodes support the runtime above; they are not additional starts or outcomes.

4 nodes

  • OpenAI Chat Model1

    AI reasoning dependency

  • Qdrant Vector Store query

    AI reasoning dependency

  • Structured Output Parser

    AI reasoning dependency

  • Embeddings OpenAI

    AI reasoning dependency

02

Run Group

When chat message received

1 Execution Link4 Support Dependencies

  1. Start

    When chat message received

    Trigger

  2. Outcome

    AI Agent

    AI reasoning

Attached dependencies

These nodes support the runtime above; they are not additional starts or outcomes.

4 nodes

  • OpenAI Chat Model

    AI reasoning dependency

  • Window Buffer Memory

    AI reasoning dependency

  • Query Qdrant Vector Store

    AI reasoning dependency

  • Embeddings OpenAI2

    AI reasoning dependency

03

Run Group

When clicking ‘Test workflow’

4 Execution Links3 Support Dependencies

  1. Start

    When clicking ‘Test workflow’

    Trigger

  2. Step 2

    Pull Mitre Data From Gdrive

    Integration

  3. Step 3

    Extract from File

    Integration

  4. Step 4

    Split Out

    Transform

  5. Outcome

    Embed JSON in Qdrant Collection

    AI reasoning

Attached dependencies

These nodes support the runtime above; they are not additional starts or outcomes.

3 nodes

  • Embeddings OpenAI1

    AI reasoning dependency

  • Default Data Loader

    AI reasoning dependency

  • Token Splitter1

    AI reasoning dependency

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