I will build ai automation workflows and ai agents using python, n8n, zapier, an

 RAG-Powered Intelligence

• Retrieval Augmented Generation answers are grounded in your uploaded documents, never hallucinated
• Semantic search using vector embeddings finds relevant content even when exact words don't match
• Source citations every answer shows which document and chunk it came from, with a match score
• Conversation memory remembers the last 6 messages for contextual follow-up questions
• Streaming responses answers appear word-by-word in real time, just like ChatGPT

Document Management

• Multi-format support PDF, DOCX, TXT files
• Drag & drop upload intuitive upload zone with multi-file support (up to 20 files at once)
• Auto-processing pipeline documents are automatically parsed, chunked, embedded, and indexed
• Real-time status live status updates: processing ready error
• Up to 10,000 documents Pinecone namespace isolation per company keeps everything organized
• One-click delete removes document from both database and Pinecone vector store
• Retry on error failed documents can be reprocessed with a single click
• Chunk preview see exactly how many chunks were created per document

One-Line Embed System