Sep 1 • Wins 🌟
🚀 Built a Telegram + Pinecone RAG Workflow (End-to-End!)
Excited to share that we at @ZestFlow Agency just built and deployed a Telegram-powered Retrieval-Augmented Generation (RAG) pipeline — fully automated, optimized, and connected with Pinecone! 🎯
🔹 What it does:
- Accepts documents directly on Telegram
- Converts, processes & embeds them with OpenAI embeddings
- Stores/retrieves vectors from Pinecone
- Runs Q&A retrieval with Groq LLM
- Sends back instant context-aware answers right inside Telegram
🔹 Why this matters:This workflow bridges document uploads + knowledge retrieval + real-time chat without leaving Telegram. It’s like having your personal AI knowledge assistant in one tap.
🔹 Key Components:
- Telegram Trigger → Detects message / document
- PDF Converter + Loader → Prepares docs for embeddings
- Recursive Text Splitter → Optimized chunking for precision
- Pinecone Vector DB → Scalable memory & retrieval
- Groq Chat Model + QA Chain → Lightning-fast inference
- Telegram Response → Delivers answers instantly
💡 Big Win: Drop a file on Telegram → get contextual, knowledge-backed answers in seconds!Next step → scaling for multi-user & multi-file handling ⚡
🔗 Connect with us: ZestFlow LinkedIn📧 Reach out: vigneshbalachandar1981@gmail.com, mohamedarsathjb@gmail.com
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🚀 Built a Telegram + Pinecone RAG Workflow (End-to-End!)
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