In this video, I will show you how to interact with your data using LangChain without the need for OpenAI apis, for absolutely free. We will be making use of huggingface hub embeddings for transforming our documents in to vector representation (embeddings). For Large Language Models, we will again using open-sourced models instead of Openai models (text-davinci-033, chatgpt etc.). All the step will be performed with FREE & open source tools with LangChain.
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Links:
Google Notebook: https://colab.research.google.com/drive/1NaEyuFWCkDtkufHIsWQhfgPLHybXeYA1?usp=sharing
LangChain: https://python.langchain.com/en/latest/index.html
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โ Buy me a Coffee: https://ko-fi.com/promptengineering
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All Interesting Videos:
Everything LangChain: https://www.youtube.com/playlist?list=PLVEEucA9MYhOu89CX8H3MBZqayTbcCTMr
Everything LLM: https://youtube.com/playlist?list=PLVEEucA9MYhNF5-zeb4Iw2Nl1OKTH-Txw
Everything Midjourney: https://youtube.com/playlist?list=PLVEEucA9MYhMdrdHZtFeEebl20LPkaSmw
AI Image Generation: https://youtube.com/playlist?list=PLVEEucA9MYhPVgYazU5hx6emMXtargd4z
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