𝗕𝘂𝗶𝗹𝗱𝗶𝗻𝗴 𝗕𝗲𝘁𝘁𝗲𝗿 𝗔𝗜 𝘄𝗶𝘁𝗵 𝗥𝗔𝗚

𝗕𝘂𝗶𝗹𝗱𝗶𝗻𝗴 𝗕𝗲𝘁𝘁𝗲𝗿 𝗔𝗜 𝘄𝗶𝘁𝗵 𝗥𝗔𝗚

AI often makes mistakes. RAG fixes this.

RAG finds facts from a database. Then it uses those facts to write an answer. You get accurate results.

LangChain helps you build the flow. It links the search tool to the AI model.

Vector databases store data as embeddings. Faiss and Pinecone work well. They find relevant info fast.

Combine LangChain and vector databases to build your system. This makes your AI scalable.

Key points:

• RAG blends search and writing.
• LangChain organizes the architecture.
• Vector databases store embeddings.
• Both tools together make AI accurate.

Source: https://dev.to/naveenmalothu/unlocking-the-power-of-rag-systems-with-langchain-and-vector-databases-1005 Optional learning community: https://t.me/GyaanSetuAi