Building AI applications that can work effectively with real-time web data is challenging due to the need for human-like interaction simulation, overcoming site blocks, and ensuring legal compliance. Bright Data offers infrastructure to handle these tasks at scale. Additionally, the post introduces an affordable RAG app built using DeepSeek AI's models, which offer significant cost savings compared to OpenAI. The tutorial covers the setup of the knowledge base, embedding creation, vector database indexing, and custom prompt template for LLM, concluding with a user-friendly interface and future advanced techniques to be discussed.
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Bright Data: Collect Public Web Data in Real-time at Scale100% Local RAG using DeepSeekSort: