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Telegram AI Chatbot with Document Based Answers Using OpenAI and Pgvector RAG

by Victor GoldUpdated Aug 2026
RequiresOpenAIGoogle DriveGoogle DrivePostgresPostgres
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OpenAI Chat ModelOpenAI Chat Mod…DDDefault Data LoaderDefault Data Lo…Embeddings OpenAI1Embeddings Open…Download FileGDFile CreatedGDFile UpdatedEFExtract Document TextExtract Documen…SeSet File IDAgRAG AI AgentSILoop Over ItemsTSRecursive Character Text SplitterRecursive Chara…ChWhen chat message receivedWhen chat messa…CoCreate Chunks From DocCreate Chunks F…SOChunks To ListCLGenerate Contextual TextGenerate Contex…OpenAI Chat Model3OpenAI Chat Mod…SeGet ValuesVSPostgres PGVector StorePostgres PGVect…Delete Old Doc RecordsDelete Old Doc …EWWhen Executed by Another WorkflowWhen Executed b…VSDocs RAG ToolEmbeddingsMPChat MemorySeTestData123456
1/5
FLOWS
STEPS · 6
Called by another workflow

On new Google Drive files, embeds documents into a Postgres pgvector store and answers Telegram chat questions through an OpenAI RAG agent with Postgres memory.

Tags

eventcomplexOpenAIGoogle DriveSupport ChatbotAI RAGdiscoveredpending-review
Connects
OpenAIgoogledriveGoogle DrivepostgresPostgres
CategoryRAG & Knowledge Bases
Triggerevent
Complexitycomplex
Nodes24
AddedJun 27, 2026