Tool Calling with LangChain is awesome!

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Tool Calling with LangChain is awesome!

Рет қаралды 3,271

Күн бұрын

In this video I will explain what Tool Calling is, how it differs from Function Calling and how it is implemented in LangChain.
Code: github.com/Cod...
Timestamps
0:00 Introduction
1:39 Basics & Tool Decorator
4:00 Tool with Pydantic Classes
6:03 Perform Tool Calling
11:06 Tool Calling with API
#langchain

Пікірлер: 35

@Shashikantzz 3 ай бұрын

Excellent video! You made life simple of non coders like us to actually solve complex tasks.. Kudos 🎉

@codingcrashcourses8533 3 ай бұрын

If you watch this you are probably a Coder

@tane_ma 3 ай бұрын

Amazing video. I was looking for these informations for some time, it was hard to find a clear explanation. Thank you for the summarized info and code

@rutvikjaiswal4986 2 күн бұрын

Oh man, really I'm just got masterpiece today. I'm searching for long time for sure and finally here it's . One request. please make video on advance rag using LangGraph

@codingcrashcourses8533 2 күн бұрын

Thank you - here you go: kzfaq.info/get/bejne/q8CfrZaFmMCaXas.html

@udaasnafs 3 ай бұрын

excellent as always🎉

@GeorgAubele Ай бұрын

Great tutorial! I've got one question, though: in 6:02 respectively 6:54: Does the model decide which tool to use on basis of the doc string?

@codingcrashcourses8533 Ай бұрын

Yes, that docstring is the explanation for the llm :)

@surajvardhan8490 Ай бұрын

Thanks!! You have stopped 2 days of my misery :)

@codingcrashcourses8533 Ай бұрын

@@surajvardhan8490 great! What happened? :)

@b18181 Ай бұрын

Awesome video! Would you consider adding a module to discuss how to do tool calling with other LLMs (such as Llama3 70B via Groq or Mistral)?

@codingcrashcourses8533 Ай бұрын

Question upfront? Does it not work with other models? LangChain normally provides a standardized interface for all models

@b18181 Ай бұрын

@@codingcrashcourses8533 - Thanks for the reply. Perhaps I was doing something incorrectly because it is working with Groq now. FYI your videos are probably the best I've found. Seriously great work. Thanks so much for creating this channel!

@codingcrashcourses8533 Ай бұрын

@@b18181 No worries, that questions are totally fine. But it´s just the biggest benefit of using Langchain, that you dont have to worry about APIs, but you can just switch Classes and it will (should) work ;-). Thank you for your kind comment

@olivergattermayr 3 ай бұрын

Great video. I’m developing something where I have a database of courses and general info, with prices, availability and bookings. I was trying to build a hybrid RAG pipeline with sql and semantic search, but perhaps this could replace it all together? Also, I bought a few of your courses a while ago, but I’m missing a full fledged implementation of sql. In your previous rag video you have one table; but how would you implement something where it’s connected to a Postgres db with dozens or hundreds of tables? Perhaps using supabase, which is pretty newbie friendly. Happy to buy a course where you go in more details about keeping dbs in sync / updated and also working with Langsmith Evals.

@codingcrashcourses8533 3 ай бұрын

My 2 cents to use what: RAG: Text Data SQL: Tabular data Functions/Tools: Call third party tools/APIs

@kyudechama Ай бұрын

Thanks for the video! I could not get my AIMessage to return multiple tool calls. Doesn't matter how many different questions I put in or how many tools I bind. The model always only chooses one tool to call as response. Any idea why that happens?

@codingcrashcourses8533 Ай бұрын

@@kyudechama its probably because of the docstring of the Tool.

@GeorgAubele Ай бұрын

As far as I understand, this does not work with Ollama at the moment, does it?

@codingcrashcourses8533 Ай бұрын

Not sure to be honest.

@surajvardhan8490 Ай бұрын

In the ChatOpenI attribute, give your base_url option by hosting your ollama models with litellm. Worked for me and it should work for you too.

@Leonid.Shamis 3 ай бұрын

Thank you very much for the explanation. Does it apply only to OpenAI models (ChatOpenAI)? I tried using your code with the Ollama-powered local Llama3-8B model and it looks like the tools are not bound to the model or another issue - the response does not contain "tool_calls"

@codingcrashcourses8533 3 ай бұрын

From the docs: Many LLM providers, including Anthropic, Cohere, Google, Mistral, OpenAI, and others, support variants of a tool calling feature. To be honest, I dont know if Llama supports tool/function calling. I would also have to google that :)

@Leonid.Shamis 3 ай бұрын

@@codingcrashcourses8533 Thank you for your response. Meta-Llama-3-8B-Instruct is #28 in the Berkeley Function-Calling Leaderboard, but indeed it does not have that "FC" (native support for function/tool calling) indicator. I guess I'll have to try Gorilla-OpenFunctions-v2 (FC), which is Apache 2.0 licensed and ranked #5, just behind the GPT-4 models.