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Chat with GitHub Openapi Specification Using RAG (Pinecone and OpenAI)

by FluxonLab Importadapted from ManualUpdated May 2026
RequiresOpenAI
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MaWhen clicking ‘Test workflow’When clicking ‘…HRHTTP RequestVSPinecone Vector StorePinecone Vector…DDDefault Data LoaderDefault Data Lo…TSRecursive Character Text SplitterRecursive Chara…ChWhen chat message receivedWhen chat messa…AgAI AgentOpenAI Chat ModelOpenAI Chat Mod…MBWindow Buffer MemoryWindow Buffer M…TVVector Store ToolVector Store To…OpenAI Chat Model1OpenAI Chat Mod…Generate User Query EmbeddingGenerate User Q…VSPinecone Vector Store (Querying)Pinecone Vector…Generate EmbeddingsGenerate Embedd…12345
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Run manually by an operator

On chat message, answers questions about a GitHub OpenAPI spec using an OpenAI agent over a Pinecone vector store.

Tags

http-requesttextsplitterrecursivecharactertextsplittereventai-agentsvectorstorepineconemanual-triggercomplexdocumentdefaultdataloader
Connects
OpenAI
CategoryRAG & Knowledge Bases
Triggerevent
Complexitycomplex
Nodes14
AddedMay 9, 2026