Thank you for your efforts! However, the code seems to be breaking. I recommend uploading only tested and working code, as this will help attract more interest from people.
This is awesome! I have a question though. Why is it that every CrewAi video I see ops for using a notebook like app like G. Collab or Juipyter Notebook (.ipynb format) instead of an IDE? I think it's because it's easier to not install all dependencies in your environment but I could be wrong. Thanks!
This is the recommend way, once you get comfortable with it, it's really great in term of modularity, reusing agents and tasks... To create a new CrewAI project, run the following CLI (Command Line Interface) command: crewai create crew This command creates a new project folder with the following structure: my_project/ ├── .gitignore ├── pyproject.toml ├── README.md ├── .env └── src/ └── my_project/ ├── __init__.py ├── main.py ├── crew.py ├── tools/ │ ├── custom_tool.py │ └── __init__.py └── config/ ├── agents.yaml └── tasks.yaml
Hello, I am new to this. is anyone getting this error? RuntimeError: Event loop is closed ERROR:root:LiteLLM call failed: litellm.APIConnectionError: OllamaException - [Errno 61] Connection refused
Hi Akshay, great video! I would like to know how would it respond to queries like Hi, Hello, Bye or something generic which doesn’t require fetching something from the internet or from a document. How would you deal with this?
Couple of things can be done here, either we can add this to the description of the retriever agent or create another agent that first tries to get the answer from the llm itself, then self-reflects on it if it's correct then respond back to the user with this else take a decision to delegate the task to retriever agent. But it should doable. I would avoid creating new agent and try to add this instruction in the retriever agent first.
this project doesn't even work. so many errors on my environment. can you help me out with the issues. it says [ImportError: cannot import name 'FireCrawlWebSearchTool' from 'src.agentic_rag.tools.custom_tool' ]
Thank you for your efforts! However, the code seems to be breaking. I recommend uploading only tested and working code, as this will help attract more interest from people.
How do you edit your zoom ins and outs? Thanks!
This is awesome! I have a question though. Why is it that every CrewAi video I see ops for using a notebook like app like G. Collab or Juipyter Notebook (.ipynb format) instead of an IDE? I think it's because it's easier to not install all dependencies in your environment but I could be wrong. Thanks!
This is the recommend way, once you get comfortable with it, it's really great in term of modularity, reusing agents and tasks...
To create a new CrewAI project, run the following CLI (Command Line Interface) command:
crewai create crew
This command creates a new project folder with the following structure:
my_project/
├── .gitignore
├── pyproject.toml
├── README.md
├── .env
└── src/
└── my_project/
├── __init__.py
├── main.py
├── crew.py
├── tools/
│ ├── custom_tool.py
│ └── __init__.py
└── config/
├── agents.yaml
└── tasks.yaml
@ yeah I’ve tried this and never worked even though I had the dependencies, hence why I also went and used .ipynb lol
😂
Awesome! I came across this from X and wanted to ask if this project would be a good addition to my resume as a fresher.
Go ahead!
You can find more on our GitHub.
@akshay_pachaar okay, thanks
Hello, I am new to this. is anyone getting this error?
RuntimeError: Event loop is closed
ERROR:root:LiteLLM call failed: litellm.APIConnectionError: OllamaException - [Errno 61] Connection refused
Is it possible to integrate an Api instead of fire crawl
@@dhirajda...6316 yes, just like I created a custom tool for firecrawl you can do for any API
keep going💥
Cheers! :)
Hi Akshay, great video! I would like to know how would it respond to queries like Hi, Hello, Bye or something generic which doesn’t require fetching something from the internet or from a document. How would you deal with this?
Couple of things can be done here, either we can add this to the description of the retriever agent or create another agent that first tries to get the answer from the llm itself, then self-reflects on it if it's correct then respond back to the user with this else take a decision to delegate the task to retriever agent.
But it should doable.
I would avoid creating new agent and try to add this instruction in the retriever agent first.
👍
this project doesn't even work. so many errors on my environment. can you help me out with the issues. it says [ImportError: cannot import name 'FireCrawlWebSearchTool' from 'src.agentic_rag.tools.custom_tool' ]