How to Build a Q&A Chatbot with RAG (No Code!) - Langflow Tutorial #3

Ғылым және технология

How to Build a Q&A Chatbot with RAG (No Code!)
In this video you will learn how to build a chatbot that is able to answer questions from a database (like Word Documents, PDFs, etc) using RAG and Langflow.
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🕒 TIMESTAMPS:
00:00 - Intro
01:41 - Adding Context Manually
02:31 - Adding Data Loader and Context
03:42 - RAG, Chucking and Vectors
06:54 - Creating the Vector Load / Upsert
08:28 - Chroma Vector Store (Local)
10:49 - Adding Chroma Search
14:14 - Adding Pinecone Vector Store

Пікірлер: 42

  • @TomPooleMS
    @TomPooleMS14 күн бұрын

    Leon - your videos are so informative and presented so they are easy to understand. I cannot thank you enough.

  • @leonvanzyl

    @leonvanzyl

    14 күн бұрын

    You're welcome 🤗

  • @nicolaslemosribeiro8096
    @nicolaslemosribeiro8096Ай бұрын

    Thank u man, u save my life! continue this serie i need very much

  • @leonvanzyl

    @leonvanzyl

    Ай бұрын

    Will do

  • @jgz2
    @jgz22 ай бұрын

    Thanks Leon, again very helpful.

  • @HyperUpscale
    @HyperUpscale2 ай бұрын

    Finally! A great explanation how the vector store works in LangFlow 😅

  • @HyperUpscale

    @HyperUpscale

    2 ай бұрын

    Mystery solved - after one year ...

  • @leonvanzyl

    @leonvanzyl

    2 ай бұрын

    Thank you 😊

  • @HyperUpscale

    @HyperUpscale

    2 ай бұрын

    @@leonvanzyl Actually, Thank you!

  • @BismaMajeed-si1uf
    @BismaMajeed-si1ufАй бұрын

    your channel is a goldmine! thankyou @leon

  • @leonvanzyl

    @leonvanzyl

    Ай бұрын

    You're welcome 🤗

  • @WayneBruton
    @WayneBruton2 ай бұрын

    Great series thus far Leon, I like the look and the fact its Python. I hope you go all the way with this series.

  • @leonvanzyl

    @leonvanzyl

    2 ай бұрын

    Thanks man! Anything you would like me to cover?

  • @WayneBruton

    @WayneBruton

    2 ай бұрын

    @@leonvanzyl Agent Teams definately also, would love to know the strengths and weaknesses or a comparison between flowise and langflow. They both seem awesome. I guess ultimately it will be "horses for course" depending on your needs

  • @myandrobox3427
    @myandrobox34272 ай бұрын

    Another great video, thanks, Leon! Does Langflow support images as input and output generated images?

  • @AnujSaxenaMunich
    @AnujSaxenaMunich2 ай бұрын

    A simple text based rag application is explained at various places but there is no explanation if we can create a multimodal RAG application with either Langflow or with Flowise. Is it possible to get an example showing the usage of images in both input as well as output?

  • @julienechavidre6389
    @julienechavidre6389Ай бұрын

    Thanks a lot Leon for your video series. It helps a lot. Is there a way to have a video to produce simple code files (like JSON), based on "code samples" (probably stored in a vector store)?

  • @4pass115
    @4pass1152 ай бұрын

    Sorry if the question seems simple, I'm not a programmer. After finishing the assistant/chat, how do I make it stay online. Do I need to store it on a server? Do you have a video showing this step? Even in flowise, you install it on the website, but if you don't access it from the computer where the "node" and flowise were installed, it gives an error.

  • @alessandro.depoli
    @alessandro.depoli15 күн бұрын

    Hi, I'm deciding which tool to learn to start my journey, but in the last few days, I've been switching between Flowise and Langflow with double effort. Checking also Vextorshift. I like a lot Langflow for the style and the fact that it is "already online" with the new v1. Which platform do you suggest to study and use? Thank you (thanks for all the videos!) Are you continuing the series on Langflow? And on Flowise & VectorShift?

  • @AKASHROY100
    @AKASHROY10012 күн бұрын

    Is there any way to extract images from the knowledge base documents and retrieve them later in the output ?

  • @bekakakachia147
    @bekakakachia147Ай бұрын

    Hello Leon, how can we control sessionid, when exporting flowise workflow via API, in Telegram bot, so it can have unique session id with each user id? Thanks in advance ❤

  • @FacadeEngineering
    @FacadeEngineeringАй бұрын

    Thanks. Can you also make video on html output of langflow? It is not working great like flowwise. Also how to make embedding on database trouth api and customizing components are great topics

  • @bekonrexha
    @bekonrexhaАй бұрын

    My vector search gives this error for some reason "ValueError: Error building Component Pinecone Search: Invalid inputs provided." any idea why?

  • @professions_
    @professions_2 ай бұрын

    A question about Chroma please. Can I add different types of data files (pdf, doc, json) using the Chroma local storage option, or will it overwrite the data?

  • @leonvanzyl

    @leonvanzyl

    2 ай бұрын

    Yes, you can add multiple files (and different file types). The content is ADDED to the vector store.

  • @doctordude5728
    @doctordude57282 ай бұрын

    I don't have a section called "core components" so I am missing "Inputs, Outputs, Data, Models.." actually everything except "Vector Stores" and "Embeddings". What I've got are only the components that you have under the section "Extended"! So how can I get all the other components that I need to create a RAG Chatbot? Can you explain that please?

  • @leonvanzyl

    @leonvanzyl

    2 ай бұрын

    You need to install the pre release version of Langflow. Check out my Getting Started video for installation instructions 👍

  • @leonvanzyl

    @leonvanzyl

    2 ай бұрын

    kzread.info/dash/bejne/iJalyLyjhMK2fKg.html

  • @doctordude5728

    @doctordude5728

    2 ай бұрын

    @@leonvanzyl thanx a lot!

  • @synergy-xl6mt
    @synergy-xl6mtАй бұрын

    Compare Flowise what's advantage of Langflow

  • @maniecronje
    @maniecronje20 күн бұрын

    Apologies if I already ask this personal preference FW or LF? Do you know if LF have more features and control than FW? I have not use LF but would like To give it a go if it is better than FW in terms of features etc. would appreciate you own personal opinion thx 🙏

  • @leonvanzyl

    @leonvanzyl

    20 күн бұрын

    I think Langflow has potential, but they're not as advanced as Flowise.

  • @abedmalak_
    @abedmalak_2 ай бұрын

    Why langflow? Flowisee is better, right?

  • @TarabUTK
    @TarabUTK2 ай бұрын

    Hello, is video #4 available for pro members?. I am not able to see. it says"1 unavailable video is hidden" Thanks.

  • @leonvanzyl

    @leonvanzyl

    2 ай бұрын

    Hey there, not yet. Still working on video 4 and 5 which will both release early for you next week 😊

  • @professions_
    @professions_2 ай бұрын

    Hi Leon, aside from Deploying on Google Cloud Platform, is there another way to host Langflow online? I love your tutorials! Thank you

  • @leonvanzyl

    @leonvanzyl

    2 ай бұрын

    I'll see if I can cover something other than GCP as well 👍

  • @cyberir

    @cyberir

    2 ай бұрын

    Maybe free oracle cloud

  • @TarabUTK
    @TarabUTK2 ай бұрын

    Where can I find the menu document download? Awesome video. Thanks

  • @leonvanzyl

    @leonvanzyl

    2 ай бұрын

    Thank Mark! I'm not familiar with such a node. Are you trying to download the flow itself? Or something else?

  • @jankotyza8146
    @jankotyza814618 күн бұрын

    Hi, The video is well-made, but I'm having trouble getting it to work with Chroma or Pinecone. It seems that Langflow has changed since the video was made. For starters, there is no "Vector search" menu as mentioned, only "Vector Stores." Additionally, both Chroma (now Chroma DB) and Pinecone have different connection points on the right side compared to the video. There are now Retriever, Search Results, and Vector Store connection points, none of which can be connected to the "context" variable on the Prompt node. As a result, I'm stuck halfway through. Perhaps the video is outdated and could use a revision? Thanks!

  • @leonvanzyl

    @leonvanzyl

    18 күн бұрын

    Yeah, super frustrating for us creators when the platform changes just about everything with each release 😂.

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