Flowise/Langflow: How to build a no-code PDF Chatbot with langchain.

• Flowise: How to chat w... In this video, it shows the flowise example used in above video. Please feel free to check it out.
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A simple example to describe the code behind flowise and langflow
Code in this video
Github: TechWithRay
Repo: demystify_flowise_langflow
github.com/Tec...
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[@alexanderroodt5052]

Thanks for sharing!

[@techwithray8943]

Thanks for watching!!

[@BrainHealthcare]

Thanks!!

[@techwithray8943]

Thank you for watching!

[@lilylau3918]

Very helpful. Thank you, please keep posting!!!

[@jaden9401]

Thank you!! This is very informative. Please make more contents like this.

[@techwithray8943]

Thank you so much for your support!!! Will keep working on good content!

[@liuchuchenliu2802]

It‘s great .If I want flowise to partly use the information in the langchain database and partly use the real-time information of the serp, how can I achieve this?

[@techwithray8943]

Thank you so much for watch! Do you mean you want to search info from your database and serp, then send all the relevant content to LLMs (OpenAI) ?

[@liuchuchenliu2802]

@@techwithray8943 This is almost the meaning. There is a lot of knowledge in openai that is outdated or incorrect. It needs to be re-aligned with the local database. If you only use serp to search, there will also be an error message. In specific problems, use a dedicated database first, and then use LLM would be a better choice

[@mordokai597]

@@liuchuchenliu2802 ***I SPENT $9 DOLLARS IN OPENAI API CALLS BUILDING A CUSTOM DB YESTERDAY- DOING IT THIS WAY THROUGH FLOWISE IS NOT OPTIMUM*** add "conversation summery memory" to have persistant memory between queries, in-memory venctor store, vector store retreiver, hugging face embeddings, local file system fais vector retreiver, and fais vector store to write your db to local disk... i think thats, use text file and text splitter modules if you want to give it guidance on the stored vector emmbeddings, and have a realy long convo or prompt chain that stays on topic of what you would like it to "learn" (add vector store retrieve prompt template, and tell it its obsessed with a certain topic to laser-focus on specific data)... when you want to implement it , use fais retrever, , a context memory store of some kind, and conversational QA chain, vector db QA chain...

[@user-oh2uc9sd1c]

Thank you for the great content! Can you please tell me how can I use the free LLMs without OpenAI? Thank you.

[@techwithray8943]

Thank you so much for watching. I will record another video how to use LLMs from Huggingface to replace OpenAI. Stay tuned. Thanks.

[@mordokai597]

@@techwithray8943 Id prefer to be able to use oobabooga/textgen as my local-api, but id settle for anything that lets me run a local flowise pipeline utilizing a wizrdlm gptq model (preferably wizardLM-uncensored-falcon-7b-gptq, but again, ill take anyhting that works) .... PLEASE GOD HELP! xD