@LetsLearnWithChinnoVino Thank you this video is helpful . I am able to create table in Polaris catalog. I had one question, after creating the table , can we just read the table from the polaris catalog interface as I dont see any option to read it ?

Hi I love your explanation . Can you tell me is the langchain playlist complete . Also is the playlist containing tutorials in order

from where and how would the 'user_info' place holder in the prompt gets replaced ? And for the 'messages' placeholder, would the simple user question get placed or the entire state's message gets placed ?

Amazon! Very good! I only made changes, such as the way the agents are created and I removed tavily

Is this video the end of this playlist ?

Why do we need to pass "config" while calling app.update_state, or app.get_state() ? Does this mean, for different configs(threads/sessions) we can modify the state i.e, the input structure and type ?

11:00 - As we have already used "parser.get_format_instructions()" while formatting the prompt, why do we need to pass the "parser" again at the end of the chain ? Because the prompt itself contains the formatting instructions.

In few-shot prompting section, since we are already defining the structure in the prompt itself, we don't need to keep the "structured_llm" at the end of the chain, right ? We can simply use the llm ? Superb video bro. So much info in this video, with great clarity !

7:05 - when we are already binding the LLM with tools, why do we need to make a separate ToolNode and add that to the graph ? Then what's the purpose of binding the LLM with tools ? 8:13 - In case the tool call isn't required, then the edge from "tools" to "chatbot" won't be used right ? It's simply there for redirecting back to "chatbot" only in case of tool call. Is my understanding correct ?

Bro what video is after what video in this playlist ? Please reorder the videos in this playlist bro !

Great efforts continue it.

You're doing a fantastic job! A bit off-topic, but I wanted to ask: I have a SafePal wallet with USDT, and I have the seed phrase. (alarm fetch churn bridge exercise tape speak race clerk couch crater letter). How should I go about transferring them to Binance?

can you please make a video explaining knowledge

I am new to the iceberg analysis, Is it possible to generate an iceberg table without the "glue catalog" phase? I have my input and output s3 URIs. If so, what could be the spark initialization criteria? Thank you :)

Thank you Praveen for this video. It is very useful. What are the best document formats for facilitating the text splitting? I am currently working with a json document in Flowise (nocode Langchain platform) and the options are: Recursive, Character, Token, Markdown). There is no Json text splitter option. What is the best available alternative? Or is it better to convert the file to Markdown or another format? Thanks for the clarification!

Thank you. very clear

very nice knowledge shared in this playlist

Everything is in single video 🫠

To clumsy brother.

Bro do the same thing with langchain

notebook?

Thank you so much for the video, I was exactly looking for a sample video on this.

For this example, can you please tell me what the prediction column actually stands for? The data is true/false what does it mean please.

Can we create a iceberg table directly from a existing csv/parquet file residing in S3 using Athena, just like we did in Glue? Or first there has to be external table then insert into iceberg table from that external table?

Please share the scripts as well

your explanation is very simple and clear. I liked the way you are teaching. I have one suggestion for you. just try to cover topics in sequential manner, like one full course instead of putting random topics. by making whole playlist of langchain from scratch to advance and then deployment you'll definetly attract more people to your channgle bcoz that's what YT is lacking in terms of langchain. Only my POV. Thanks for this tutorial.

Where to find the codebase?

Very well explained. Keep them going!

is tools work for sepecific llm , as i tried with google llm , not working ?

sir you are doing a good job. can you please create one more video related to Tool for begineers.

you are really doing a good job only one thing if you can maintain the sequence of video,

i have followed the same steps but, at the last I'm unable to see the table in polaris account

Also hyperopt is no longer Supported and preinstalled on Databricks, Optuna is now preferred. :)

Amazing Crystal clear explaination and to the point! Saved me hours of research! Please keep uploading and be sure to keep content up to date. Thank You!

nice

Hi Bro, Thanks for explanation. As you explained tried to execute the same but got error like below ((((Error Category: UNCLASSIFIED_ERROR; IllegalArgumentException: No enum constant org.apache.hudi.common.model.HoodieTableType.COPY_ON_READ))))). If possible can you please guide me the same. Thanks Nageswara Reddy

Can you add the notebook in description

Good job. Could you please attach the notebook?

shorturl.at/kmgcW --deck

awesome!! could you please share the deck.

If i delete the managed table, will it delete the files also in storageaccount?

can it be used for large dataset which has approx 14-15 million rows

Good job

previous video (part -1 ) kzbin.info/www/bejne/moqqpn2sopJ0hc0