Question Answer ChatBot using LLama-Index & LangChain with Hugging Face Models - Part 1

Показать описание

In this Applied NLP LLM Tutorial, We will build our Custom KnowledgeBot using LLama-Index and LangChain. LangChain for accessing Hugging Face Model Hub and GPT-Index for Vector Index Building and Index Querying - Information Retrieval.

❤️ If you want to support what we are doing ❤️
Support here:

1littlecoder

Рекомендации по теме

Комментарии

YOU ALREADY DID IT !!! omg i ask for this video just a moment and you already have it, dude i love your work thank you sire, thank you so much

Anzeljaeg

I feel limitless with your videos 🙂thank you!

jorgerios

This video will become a classic. Amazing job.

Alderleyai

Yes! I second the vote for a Gradio front end UI! Thank you in advance!

spicer

Thanks for the video. Why do you need both LlamaIndex and LangChain? Doesn't LlangChain have similar ability to index document chunks by their embeddings?

marcin-guitar

the main reason i feel flan did not workout is because, being an LLM it wasn't trained on large datasets. I would you request to provide finetuning on use cases such as entity recognition, custom dataset training for text generation etc

gautamgalada

I used SimpleDirectoryReader to read in a document. But I noticed that GPTListIndex takes a long time to process. Is there a way to address that?

wryltxw

I got the following error. Is it because the text I provided was too big?

Token indices sequence length is longer than the specified maximum sequence length for this model (922 > 512). Running this sequence through the model will result in indexing errors
San Francisco

wryltxw

Great video - thanks for that.
Can this code be tweaked to use Alpaca or GPT4All ?

bigbena

Hi wanted to know is it possible to load folder containing multiple CSV files?
Thanks in advance

harshmehta

It is not working for complex or summary based questions, can you please help in building a elaborate model, just like LLM and GPT INDEX tutorial?

ajitpawar

Can we use llamaindex to create a chatbot which takes in data from a csv file instead of text file like this video?

adarshshanmugam

hey @1littlecoder, im not able to install module GptSimpleVectorIndex. Do you have any idea about that

SurajShinde-kepd

Token indices sequence length is longer than the specified maximum sequence length for this model (2842 > 512). Running this sequence through the model will result in indexing errors. please assis with this error

younginnovatorscenterofint

it would be great if you make a full video on LangChain

bhagatsurya

Thank you for the wonderful tutorial,
I'm trying to make something similar to what you made, but the problem is the wrong answer that LLM generates! (same as what happened to you)
How can I deal with this?
sometimes the generated answer is not related to the question, sometimes is out of the bound of the given context,
and it's even happened to me sometimes that the model doesn't generate the same answer for the same question and context (for someone else, or even if I just try to re-generate it without any changes).

I would be grateful if you could help me with these issues

SoroorMalekmohamadi

So I used the same base model on my data and i did save the index.json but when I do
.load_from_disk()
It's asking me the openAI API key

stutikumari

I tOO Feel Timeless with your Videos .... Thanks For such a content

aivision

Is it possible to reduce the cost of request to llm like openai models using the gpt-index. Please I need your help? I make like 10 querys and the request made to the openai model is costing like 1 dollars so am wondering is there a way to reduce the cost.

samatech

As GPTSimpleVectorIndex was renamed to GPTVectorStoreIndex, How would I give the query?

HariNithya.

Question Answer ChatBot using LLama-Index & LangChain with Hugging Face Models - Part 1

Question Answer ChatBot using LLama-Index & LangChain with Hugging Face Models - Part 1

Build a PDF Document Question Answering System with Llama2, LlamaIndex

Code Lab: Simple Chatbot using Llama Index

Fully Functional Chatbot with Llama Index: Build a Custom ChatGPT

Chatbot Answering from Your Own Knowledge Base: Langchain, ChatGPT, Pinecone, and Streamlit: | Code

Create a ChatBot in Python Using Llama2 and LangChain - Ask Questions About Your Own Data

How to build a Llama 2 chatbot

Build a Large Language Model AI Chatbot using Retrieval Augmented Generation

AI Agents 2.0 MultiOn & AgentOps Hackathon: Preliminary Judging

Build and Run a Medical Chatbot using Llama 2 on CPU Machine: All Open Source

Customer Support Chatbot using Custom Knowledge Base with LangChain and Private LLM

How To Develop Question Answering Bot Using Only Hugging Face Transformer In 10 Min | AISciences.io

Talk to Your Documents, Powered by Llama-Index

How to chat with your PDFs using local Large Language Models [Ollama RAG]

Building a Document-based Question Answering System with LangChain, Pinecone, and LLMs like GPT-4.

RAG Implementation Medical Chatbot with Mistral 7B LLM LlamaIndex GTE Colab Demo

Learn How To Query Pdf using Langchain Open AI in 5 min

Chat with CSV Streamlit Chatbot using Llama 2: All Open Source

Build your Own AI Smart Exam Prep|Question&Answer App|using LLAMA-2-70B Chat|Langchain #llama2 #...

Chat with your Data using Llama 2 LlamaIndex Collab Demo custom LLM and embeddings Tutorial

LLMs for Advanced Question-Answering over Tabular/CSV/SQL Data (Building Advanced RAG, Part 2)

End to end RAG LLM App Using Llamaindex and OpenAI- Indexing and Querying Multiple pdf's

Build AI chatbot with custom knowledge base using OpenAI API and GPT Index

LangChain: Chat with Books and PDF Files with Llama 2 and Pinecone (Free LLMs & Embeddings)