There are those moments when one finds something incredible and says WOW!
That's precisely what I said the first time I saw LangChain Tools. I wouldn't believe what the documentation was saying until I had a try.
What are LangChain tools, and why do they matter
"Tools are interfaces that an agent, chain, or LLM can use to interact with the world" - says the official documentation.
Using LangChain, you can build applications with LLMs using Chains, Models, and other components. But every time you use these components, you have one "possibility": prompting the model with an input and having an output based on the model. This sounds too simplistic, but you cannot add more.
Once you add a Tool, you allow the Model to interact with the outside world, collect data, enrich an output, or surf the web. You have countless possibilities.
Why LangChain Tools Enhance Your Possibilities Dramatically
LangChain can integrate anything with a Model using a Tool and let the Model use it via prompting.
Imagine if you could:
Visit a website, summarize a page, and use that to build a richer answer
Ask a model to create an abstract for a text and send it via your GMail account.
Answer a question using Wikipedia
Send a message to a channel in Discord with the answer to your question
Well, using LangChain, you can:
The amazing thing is you can even create custom tools suited to your needs.
I Strongly invite you to look at LangChain Tools examples and tests. You can learn a lot and be incredibly inspired.