Building an AI RAG project
#7: In this episode, Kristian explores the new Hello World for AI projects: Retrieval-Augmented Generation. You'll learn how it works, why you should build one if you're interested in AI projects, and how to build it with Langchain.
Links mentioned in this episode:
-ChatGPT: https://chat.openai.com/
-LangChain: https://www.langchain.com/
Links mentioned in this episode:
-ChatGPT: https://chat.openai.com/
-LangChain: https://www.langchain.com/
-JavaScript: http://www.ecmascript.org/
-Python: https://www.python.org/
-Llama: https://ai.meta.com/llama/
-Llama Chat: https://llamachat.app/
-Github: https://github.com/
-Notion: https://www.notion.so/
-JSON: https://www.json.org/
-Pinecone: https://www.pinecone.io/
-Cloudflare: https://www.cloudflare.com/
-OpenAI: https://openai.com/
-Python: https://www.python.org/
-Llama: https://ai.meta.com/llama/
-Llama Chat: https://llamachat.app/
-Github: https://github.com/
-Notion: https://www.notion.so/
-JSON: https://www.json.org/
-Pinecone: https://www.pinecone.io/
-Cloudflare: https://www.cloudflare.com/
-OpenAI: https://openai.com/
-RAG Project on Github: https://github.com/kristianfreeman/cloudflare-retrieval-augmented-generation-example
-LangChain JS : https://js.langchain.com/docs/get_started/introduction
