Embedding pipelines often look deceptively simple. Documents are chunked, embeddings are generated, vectors are stored in a vector database, and a retriever fetches relevant chunks for the LLM. Post Views: 44 Post navigation Gemini Agent vs Microsoft Copilot vs ChatGPT Operator: How They CompareTestlio Takes On AI Chatbot Risk Before It Reaches Customers
