RAG Chatbot with Supabase + TogetherAI + Openrouter

⚠️ 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.