Build a Chatbot with RAG in 10 minutes | Python, LangChain, OpenAI

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Are you tired of getting generic responses from a chatbot? Retrieval Augmented Generation (RAG) allows you to provide context to your conversations! In this vide we build a RAG chatbot with Python, LangChain, ChromaDB and OpenAI which answers questions based on the PDF files you feed it.

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#python #rag #chatbot
  1. Thomas Janssen
  2. chatbot
  3. python
  4. retrieval augmented generation
  5. retrieval augmented generation (rag)
  6. retrieval augmented generation tutorial
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Комментарии
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This literally saved my life! I understood everything in detail. Thanks a lot for explanation.

selinsengoz
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"What did I just say" doesn't demonstrate that it knows the conversation history. It just referenced the preceding question, nothing in the history before it.

phsopher
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Can you make a video of Rag with a book pdf of haggiface model without keys and without api

ROKKor-hstg
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Hi! Thanks for your video.
Simple question : Does it possible to plug many PDF files into chatbot ?

benjaminadda
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I really find this helpful for my project. In my own case, I am working on adding user authentication and using specific user details for the RAG. I just started using your tutorial to get the ground running. Kindly share suggestions on the use of database and user authentication.

onuohaabel
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I may have missed it but can I deploy this chatbot and PDF to website so others can use the chatbot as well? Thanks.

quintingilfus
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Hi, great work, I tried to used this but it asks for personal access key and in my account I can only see project API key. when I run the code I get 401 error
Any idea how to fix this

muhammadali-jvkr
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Which python version must we use to run these scripts?

MukutaManitD
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Hey Thomas, could you please share the repo of this project.

autumn
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I have tried the script. I am struck due to installation of langchain_chroma is failing.
Preparing metadata (pyproject.toml) ... error
error: subprocess-exited-with-error

× Preparing metadata (pyproject.toml) did not run successfully.
│ exit code: 1
╰─> [21 lines of output]

ballubytes
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I very loveit am gonna some project like this you very help me so much thank you :)

yuhuee
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Thanks for all. Is it possible to use multiple data source ?

abdelfetehsadok
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Can you create an end to end, production ready RAG app? Where users/visitors can upload their pdf file and chat with it. With simple UI for the frontend with React Native. Backend with Firebase/Supabase.

kalambreone
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Hi can you tell us what are other alternatives of openai api as it’s paid. Something else which is free .

autumn