LangChain Agents - Joining Tools and Chains with Decisions 

Thanks much appreciated

Glad you liked it. Yes I will don more with the Agents going forward and also plan to show making custom tools etc.

@@samwitteveenai Great to know! How's these related video going?

Thanks!

Will certainly make more vids around the Agents stuff. First will probably be explaining the paper behind it and then how you can manipulate the prompts. The idea of multi user would depend on a few things. Eg. does it know who is talking? eg. user1: blah blah, User2: blah blah etc

@@samwitteveenai that would be awesome, your videos are really helpful! I think the general use case I need help with is calling a chain, getting a response, and then having some decision point that calls different chains depending on the outcome of chain 1. For the multi-user, yes I would know who the message is from. If user 1 said "does anyone know who the president of the USA is?" VS "chatbot, do you know who the president is" VS "user 2 do you know...". Chain 1 would need to work out an answer could be given to statement 1 and 3, but not say anything for 2. It's not the specific use case but more how to chain prompts where decisions from one prompt need to influence which of a range of secondary prompts should be called. It's quite possible this is easy to do and I'm just not fully understanding langchain yet😊

Really helpful video. Thank you!

This is certainly in the plans

Yeah I am thinking of launching something like that. what would you like to see in it?

Let me look into this. I think Cohere and Anthropic models should be ok. You could also finetune a model for this. I have some more vids on Agents planned so I will add this into the mix.

Great question! I am also curious about this.

No I have been wanting to make a ReACT video. I do show the Zero Shot ReACT in some other vids but need to make a ReAACT vid to explain it as it really is magic. Will try to get it out this week.

Yes you could write your own chain to do various tasks like info extraction. You could also combine it with a database to answer more traditional database questions like how were sales last month etc.

do you have find answer this question

Forget my question. I think the model does not have capability to reason that far to handle the prompts and self reflection attached. Anyway. Still very powerful combined to openAI indeed

I am working on some things for testing open LLMs on reasoning and tasks like this and may also release a model for it.

@@samwitteveenai that is great! Eager to see the result of your exploration. If we can help you in any manner, feel free.

you want to call the function from a LLM tool or have the model output a python function. Check out the video about PAL chain that is creating the a python function from the LLM.

I find the best way to handle prompts is to overload them if you need to change them. most the time though you can just pass variables into the prompts when you call them. getting output should be fine as strings if you want json back etc, then you can use a custom output parser etc. I have a number of vids showing those things.

Take a look at the custom agent /tools vids and ReACT

There is an Agent in LangChain that can do SQL queries. That should work.

@@samwitteveenai thanks, following your instruction, I tried to make a function. def query(input=""): sqlite_db_path = 'data/San_Francisco_Trees.db' db = SQLDatabase.from_uri(f"sqlite:///{sqlite_db_path}") db_chain = SQLDatabaseChain(llm=llm, database=db, verbose=True) result = db_chain.run(input) return result

I showed this in one of the vids last week. I will show some more non Open AI options in another video soon.

Yes totally I go through that in a number of the early videos.

@@samwitteveenai I am checking out your video's

This video is pretty old. The best way to do this now is to use LangChain Expression Language. I plan to make a new series with a lot of these changes soon. I already have one video about LCEL up

you could make a normal LLM chain and put that in a combined chain.

@ MrJvr80 did you find the solution for that ? if yes, then can you please share it,

@@MindsMusing did you find the solution for that ? if yes, then can you please share it,

@@alperenyuksel7184 I didn't not find the solution

You can get around this my changing the prompt and the tool description so that it only uses the search as a last resort etc. You will need to experiment with the prompt etc.

checkout my video on custom tools

there is a write file tool, check that out.

@@samwitteveenai but I can't use the writefile tool in zeroshot react agents Or chat agents. Could you please help which agent can support write file tool. And I want the total crawled information not the summary or any specific short answer.

The main one is the ReAct paper - arxiv.org/pdf/2210.03629.pdf I plan to make a vid on this and some similar research.

@@samwitteveenai cheers!

Langchain docs should have a link to that from memory.