Multi-Vector Retriever for RAG on Tables + Texts Using LANGCHAIN & UNSTRUCTURED

In this video, I will show you how to chat with pdf which contains text as well as tables. We will be using langchain, openai, ChromaDB and Unstructured.

Happy Learning 😎

👉🏼 Links:

GitHub repo: https://github.com/sudarshan-koirala/youtube-stuffs/tree/main/langchain
LangChain website: https://python.langchain.com/docs/get_started/introduction

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☕ Buy me a Coffee: https://ko-fi.com/datasciencebasics
✌️Patreon: https://www.patreon.com/datasciencebasics

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🔗 🎥 Other videos you might find helpful:

🔥 Databricks playlist: https://youtube.com/playlist?list=PLz-qytj7eIWXTqncmCCSOw-GcBu2c4K0j&si=E3Yup56kmYWM_jb6

⛓️ Langflow: https://youtu.be/18b7u_e5tnM
⛓️ Flowise: https://youtu.be/LNF2DbmADus

🔥Chainlit playlist: https://youtube.com/playlist?list=PLz-qytj7eIWWNnbCRxflmRbYI02jZeG0k

🦜️🔗 LangChain playlist: https://www.youtube.com/playlist?list=PLz-qytj7eIWVd1a5SsQ1dzOjVDHdgC1Ck

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🤝 Connect with me:
📺 Youtube: https://www.youtube.com/@datasciencebasics?sub_confirmation=1
👔 LinkedIn: https://www.linkedin.com/in/sudarshan-koirala/
🐦 Twitter: https://twitter.com/mesudarshan
🔉Medium: https://medium.com/@sudarshan-koirala
💼 Consulting: https://topmate.io/sudarshan_koirala

#langchian #llm #rag #semistructuredrag #datasciencebasics