5-Langchain Series-Advanced RAG Q&A Chatbot With Chain And Retrievers Using Langchain

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5-Langchain Series-Advanced RAG Q&A Chatbot With Chain And Retrievers Using Langchain

Рет қаралды 25,907

Krish Naik

Күн бұрын

Пікірлер: 69

@sks_DS 4 ай бұрын

Suggestion : It would be really helpful for viewers and Data Science communities : if next you can make a video on chatbot(maybe chainlit ui) to chat with pdf using langchain any llm(openai/ollama) as a next step, only thing is chatbot should remember chat history(maybe use langchain memories component) so if my first question is : Who is Sachin Tendulkar? and the next follow up question is What is his place of birth? so chatbot should automatically infer that his -> means Sachin Tendulkar. Thanks in Advance.

@thesuriya_3 4 ай бұрын

i already thought this 💯

@amritsubramanian8384 4 ай бұрын

hey sks, for that you have this concept called as memory buffer in langchain. You can look to it in LangChain Docs ;)

@venkatkrishnan9442 4 ай бұрын

your videos are too good Krish. If some points are not understood and when I again check back I can get and relate what you are explaining. Thanks for all these very useful videos

@NoDoglapan 4 ай бұрын

Your new look reminds me of 70's bollywood villain called 'Shetty' (Rohit Shetty's father) LOL 🤣😛😁 . But in real life you are a hero !!! 🙏

@user-ko7yz9kj4o 4 ай бұрын

followed all the 5 videos in less than 24 hrs. Now gotta looks at the documentation for retrieving from multiple documents.

@vos72 3 ай бұрын

Great hair cut! It suits you! Absolutely love your videos -- they have been very helpful so far! You're an outstanding teacher!

@AsmaaHANINE-s7j 29 күн бұрын

awesome !! so clear. A natural born teacher !

@shashankpandey1966 20 күн бұрын

I failed an interview today just because i dont know how retrievers works, Thankyou so much for this conceptual learning. Much appreciated. Thanks.

@SantK1208 4 ай бұрын

You are a gem @krishnaik Sir, i read langchain from multiple platforms but u made it so simple. Now I have more interest on this topic🙂

@zishankhan2763 4 ай бұрын

If I could I would have liked this series 1000s time, you are awsome person man, I wish you all the very best for the kind work you are doing, Just love you man, big fan

@Rider12374 2 ай бұрын

you could have liked it 1000 times bcz you are fool.

@abutareqrony4513 4 ай бұрын

Just an awesome explanation. Love you bro. Make more videos for us.

@AvisekSwain-r6v 24 күн бұрын

Great videos Krish. You know exactly how to present and make us understand. Are there any specific videos on LangChain Agent ?

@omsundaram4377 3 ай бұрын

Krish ji , you are looking like Sakal...jokes apart great video and good learning content ..

@andrespineiro7609 4 ай бұрын

I love this seires. Please dont stop!

@phuloriavivek 4 ай бұрын

Hi Krish. Thank you so much for your amazing content. These videos have really been helping me in my GenAI journey. I am stuck in one place though I want to use an output parser -(eg a on the output. But I am not able to do that. Tried a lot of different methods to solve this, but , but not able to debug . If possible, could you please guide how this may be done? Thank you so much in advance.

@arjunraj3920 4 ай бұрын

waited for a lifetime to get a response..... my specs are 8gb ram i5 12th will i get some output

@venkatkrishnan9442 4 ай бұрын

Will check for different document loaders, mainly the microsoft one :)

@sandeeppvn0503 4 ай бұрын

Can we use LECL to implement these? It would be helpful if you could show how to use LECL in your future videos also.

@shankarpentyala2390 2 ай бұрын

The chains seems to be using LCEL

@techtalksabhishek 4 ай бұрын

I am with your look.

@hamidraza1584 4 ай бұрын

Looking funny man. Love from Lahore Pakistan

@summa7545 4 ай бұрын

Hi krish, will you create a new episode on usage of various types of retrieval chains? You used retrievalqa in your earlier episode, then bappy did use different retrievar in his episode. Could you provide us a list of scenarios to use specific functions? 😅

@krishnaik06 4 ай бұрын

Sure

@ahmadmponda3294 4 ай бұрын

Feels like a Shoulin Monk😀 nice

@emiliobravo1385 4 ай бұрын

You look sharp Mr Naik

@berhanubogale2660 2 ай бұрын

awesome. You are Good

@RahulPrajapati-jg4dg 3 ай бұрын

looking Good sir 😃

@SantK1208 4 ай бұрын

Thanks for the video, could you also please add some topics for RAG -> Qdrant, LLamaindex Parser, Nomic-embeding text

@nandinimatamacedatascince1407 4 ай бұрын

Very helpful Video , can you make a video on how to load multiple pdf files to create RAG pipeline and connect with azure openai,its will be very useful,currently you are handling with only file.

@nishantchoudhary3245 4 ай бұрын

Waiting for next video

@omkarjamdar4076 4 ай бұрын

Please tell the minimum config. of laptop to run this project, and also for 7b model. Are laptops capable of running it if yes recommend future proof ones

@shonrockey6135 4 ай бұрын

I am not an expert but I think you could buy a laptop which has rtx 3060 graphics card or above it would pretty fast when running 7b model. I am using 2018 acer nitro 5. It has gtx 1050ti graphics and 16 gb ram. I use ollam to run open-source quantized models. It's is slow but it accomplish the task. Either buy a laptop which has graphic rtx 3060 or above. Or buy a mac. Also you could fine tune the models if you have mac or rtx 3060

@prakashmccullum958 4 ай бұрын

Hey bro whatsup with your hair style man, it's really cool man, nice

@shalabhchaturvedi6290 4 ай бұрын

Loved it!

@malleswararaomaguluri6344 4 ай бұрын

Hi krish, can you run the same with gpu cuda what are the changes need to apply. Before running llms, how to confirm cuda activated or not. I just checked with tensorflow and pytorch it is detecting xuda version, but this is enough or need to test some more tests. Please reply. Thanks.

@Danny_DB-xi5lo 4 ай бұрын

Hi Krish... Actually I was developing an end-to-end chatbot application for multiple PDF upload from UI with the help of streamlit framework. I used Recursive text splitter and chunking, then huggigface embeddings and chromadb vextorstore. also used Conversational Retrieval Chain. LLM used gpt-3.5-turbo But i am facing issues to get response like repetitive response sometimes, or last query's response if i ask irrelevant questions, sometimes correct response, Can you guide me please

@DoomsdayDatabase 4 ай бұрын

Could you provide me your github? I aint Krish but i might know how to help

@mukeshvishwakarma6236 4 ай бұрын

Super cool!

@meenakshichippa260 2 ай бұрын

Krish u look handsome now !!!

@user-ht5ev7il3h 4 ай бұрын

@krish why this is advanced rag concepts, yiu have already explained the retrieverQA concepts right.....i dint get what is tge difference

@user-ti8sz5ps7r 4 ай бұрын

can you create an API with streamlit UI where user can upload a pdf documents and chat with it .....API and Streamline can do the work..I liked your video

@user-ti8sz5ps7r 4 ай бұрын

Kindly create an API on RAG with PDF documents rather than just Notebooks

@eventsjamaicamobileapp1426 4 ай бұрын

Great

@nehapradhan498 2 ай бұрын

Hi, when I run : retrieval_chain = create_retrieval_chain(retriever,document_chain), I keep on getting this error: AttributeError: 'function' object has no attribute 'with_config' Does anyone know how to fix it?

@mohsenghafari7652 4 ай бұрын

tanks krish !

@twinklepardeshi3113 4 ай бұрын

First comment ❤

@thinktrovert 4 ай бұрын

When I run: response=retrieval_chain.invoke({"input":"Scaled Dot-Product Attention"}) I am getting this error: TypeError: can only concatenate str (not "ChatPromptValue") to str What to do???

@SujeetKumar-tl3lq 4 ай бұрын

Thanks for video, I had question, retrieval_chain.invoke() in this function you are passing only query, where is context, is that optional ?

@shankarpentyala2390 2 ай бұрын

The retrieval_chain is taking care of getting the context. response = retrieval_chain.invoke({"input": "what is attention"}) response when executed above code, the response is: {'input': 'what is attention', 'context': [Document(page_content='3.2 Attention An attention function can be described as mapping a query and a set of key-value pairs to an output, where the query, keys, values, and output are all vectors. The output is computed as a weighted sum 3', metadata={'source': 'attention.pdf', 'page': 2})], 'answer': 'Based on the provided context from the paper "Attention Is All You Need" by Ashish Vaswani et al., I can answer your question. According to the text, an attention function can be described as mapping a query and a set of key-value pairs to an output, where the query, keys, values, and output are all vectors. The output is computed as a weighted sum. In simpler terms, attention refers to a mechanism that allows a model to focus on specific parts of an input sequence (or key-value pairs) based on their relevance or importance. This process involves comparing the input sequence with the query vector and computing weights for each position in the input sequence. The output is then computed by taking a weighted sum of the values, where the weights are learned during training. Attention has been used successfully in various tasks such as reading comprehension, abstractive summarization, textual entailment, and learning task-independent sentence representations. Please let me know if you find this answer helpful!'} It has your input,context and answer fields

@sriharshaboini 4 ай бұрын

Waiting

@ayodeleayodeji4410 4 ай бұрын

will this video be available to all in your KZfaq channel

@khalidkifayat 4 ай бұрын

Hi, where to find these RAG Q&A Chatbot With Chain And Retrievers JOBS ONLINE ?? does it require prior building experience ??

@amritsubramanian8384 4 ай бұрын

Gr8 videoo

@anshulesh 4 ай бұрын

Please make videos of RAFT also.

@Rider12374 2 ай бұрын

You just tell how to use tools but not why to use . It's a very bad approach whether you like it or not, but that's the truth and try to improve it.

@saliltrehan4255 4 ай бұрын

It is true! Hehe

@commoncats5437 4 ай бұрын

reddy garo😝🔥🔥

@nishantchoudhary3245 4 ай бұрын

❤

@twinklepardeshi3113 4 ай бұрын

First like

@rishiraj2548 4 ай бұрын

🙏

@yusufansari3203 4 ай бұрын

Krish Sir I am getting this error: ValueError: Error raised by inference endpoint: HTTPConnectionPool(host='localhost', port=11434): Max retries exceeded with url: /api/embeddings (Caused by NewConnectionError(': Failed to establish a new connection: [WinError 10061] No connection could be made because the target machine actively refused it')) Please help me out!

@jayaprakash7348 4 ай бұрын

I am also getting same error from "retrieval_chain.invoke" method. Please help us with the solution @Krish Ji

@keerthipriya3416 3 ай бұрын

@@jayaprakash7348 I also got the same error, downloading ollama and running llama2 model locally will fix this!

@keerthipriya3416 3 ай бұрын

@@jayaprakash7348 I also got the same error. downloading ollama and running llama model locally would fix this.