Hybrid Chatbots: How to Chat with Multiple Data Sources (Pinecone, ChatGPT & More)

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In this video, I show you how to chat with multiple files/data sources (PDFs, docs, transcripts, HTML etc) from the same chatbot interface! Apps like the example I show are able to intelligently route the user's query to the correct knowledge base (eg Pinecone or ChromaDB) using an 'intent classifier' that can answer using specialized knowledge. If the query doesn't match any of your data stores then it is sent to the ChatGPT API to be answered.

This is a very powerful and robust system to be familiar with, even better to be able to steal my code for your own projects and modify accordingly!

Mentioned in the video 👇

Timestamps:
0:00 - What are Hybrid Chatbots?
1:21 - MBAGPT Explained
3:26 - Intent Classifers Explained
8:00 - Running the app
10:06 - How to use for yourself!
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Great video! Thanks for making this wonderful content for free. AI Consulting is about to get big 😎

HamzaRashid
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This is exactly what I was talking about in our call. A hybrid model.

AdamPaulTalks
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Awesome video @LiamOttley mate!
i learn so much with each video you put out.
love the Friday sessions on Discord. can't wait to see what's next 💪💪👏👏

shacharbard
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Great video man, cheers from rainy Auckland!

ChrismAIAutomation
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I am currently writing the scraping function of an agent that leads to a very similar project as yours. Thanks. I am learning programming as I go. I used to have your energy. I wish I had it now in this exciting time to be alive. Thanks.

Dr_Tripper
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This becomes very interesting when Neuralink provides access to everyones memories.

HKallioGoblin
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Thanks you for making these amazing video. You are a Legend in my world.

firetownplatformfinders
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could you make a complete friendly beginner tutorial on how to make it step by step pls? That video could be pure Gold

rr
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Will it charged to any token fees from openAI, if the knowledgebase is within correct knowledgebase? Thanks

LynchTee
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Dude, you are amazing. Congratulations!

romanemilianomandujano
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This is great and extremely powerful! Was wondering if there would be anyway to print out the human context "snippets" out along with the llm response?

avikshitbanerjee
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I am a full-stack developer. What is the best library or project to train AI on private data? I watched the PrivateGPT video, but honestly, PGPT is very slow. 😅

ruckriver
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What about privacy? No connection to OpenAI servers for multiple files/data sources?

ThierryVilaysith
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Great video! thank you ! how would you fine tune the function if you need to leverage different data sources to answer one question? by example, my prompt could require to combine elements from ChatGPT + GoogleSearch (weather) + Website (how to contact customer support?) + a vectorDB. "I need advice to dress for a wedding in NewYork next weekend?" > Chat(Fashion style in NYC) + Google (Weather in NYC next week) + Macy website ("to contact support...") + vector DB (containing different suits and shirts products from Macy). thanks for your guidance!

laurentdemeur
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Very interested in engaging you build soemthing very similar for me. What's the price range are w looking at? BTW Great stuff! Thanks

edwardskcmo
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You are an Amazing person sharing your work with the world. Always stay blessed brother. Is it possible to intergrate with telegram bot?

zahirabbasmohdhussein
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Even similar functionality exists in the llama index

proudindian
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Hello Liam, I am asking here as this is your latest video, I have seen your videos regarding Langchain, I am curious how to optimize inference while using LLMs in Langchain using TensorRT or Onnx Runtime... As in Industries, It's very obvious, to save the time as well as computation cost... In TensorRT while using open source models, we have techniques like quantization and a few more more for that... So In Langchain is there any way to do this?

khushpatel
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I gotta learn to get this done for a discord bot with my own data. XD

SonicBoom
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Here is l have been seeing a lot of chances of multiple business and benefits is it right

vipanchika