⚠️ RUN the FIRST WORKFLOW ONLY ONCE
(as it will convert your content in Embedding format and save it in DB and is ready for the RAG Chat)
📌 Telegram Trigger
- Type:
telegramTrigger
- Purpose: Waits for new Telegram messages to trigger the workflow.
- Note: Currently disabled.
📄 Content for the Training
- Type:
googleDocs
- Purpose: Fetches document content from Google Docs using its URL.
- Details: Uses Service Account authentication.
✂️ Splitting into Chunks
- Type:
code
- Purpose: Splits the fetched document text into smaller chunks (1000 chars each) for processing.
- Logic: Loops over text and slices it.
🧠 Embedding Uploaded Document
- Type:
httpRequest
- Purpose: Calls Together AI embedding API to get vector embeddings for each text chunk.
- Details: Sends JSON with model name and chunk as input.
🛢 Save the embedding in DB
- Type:
supabase
- Purpose: Saves each text chunk and its embedding vector into the Supabase
embed table.
SECOND WORKFLOW EXPLAINATION:
💬 When chat message received
- Type:
chatTrigger
- Purpose: Starts the workflow when a user sends a chat message.
- Details: Sends an initial greeting message to the user.
🧩 Embend User Message
- Type:
httpRequest
- Purpose: Generates embedding for the user’s input message.
- Details: Calls Together AI embeddings API.
🔍 Search Embeddings
- Type:
httpRequest
- Purpose: Searches Supabase DB for the top 5 most similar text chunks based on the generated embedding.
- Details: Calls Supabase RPC function
matchembeddings1.
📦 Aggregate
- Type:
aggregate
- Purpose: Combines all retrieved text chunks into a single aggregated context for the LLM.
🧠 Basic LLM Chain
- Type:
chainLlm
- Purpose: Passes the user's question + aggregated context to the LLM to generate a detailed answer.
- Details: Contains prompt instructing the LLM to answer only based on context.
🤖 OpenRouter Chat Model
- Type:
lmChatOpenRouter
- Purpose: Provides the actual AI language model that processes the prompt.
- Details: Uses
qwen/qwen3-8b:free model via OpenRouter and you can use any of your choice.
