Conclusion

LangChain is proving to be an invaluable asset in modern AI application development. It simplifies the integration of various AI and ML tools, allowing you to effortlessly switch components without extensive code rewrites.

The most common, widely adored, tried and tested set of AI tools is available at OpenAI. For a small fee, you can access decent LLMs, embeddings, and more to build a RAG app. However, free alternatives exist, some with comparable or even superior performance.

So now, building a basic RAG app takes less than 20 lines of code, and incorporating historical context into your chats requires only a slight increase in complexity. You also have the flexibility to retrieve your source data from a multitude of sources. Refer to the documentation to identify and use the appropriate components for your use case.