General
How to Build a RAG Chatbot with DeepSeek API (Step-by-Step Guide 2026)
Key Points
- RAG = Retrieval + LLM: answer questions from your own documents
- Use FAISS (local, free) for vector database — no API needed
- Use sentence-transformers for local embeddings — $0 cost
- Complete working code in under 100 lines — copy-paste ready
What is RAG?
Step 1: Set Up DeepSeek API Client
Step 2: Create the Vector Database (FAISS)
Complete Code (Copy-Paste Ready)
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