Step 3: Upload the data, Here we are uploading the pdf file of a research paper. Once you upload the data, it will embed and index the data into your Clarifai app. Clarifai Apps acts as your vector database.
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Install Clarifai SDK, Llama-index, and Configure Personal Access Token
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Step 1: Install the Clarifai Python SDK, Llama-index, and set your Clarifai Personal Access Token as an environment variable. Sign up for the platform, and you can access the PAT here: https://
clarifai.com/settings/secur
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Build RAG System in Four Lines with Clarifai SDK
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You can build a RAG system with just 4 lines of code using @clarifai Python SDK. Below is the entire code. Let's look at it step by step:
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Build RAG LLM App Chat PDF Files Gemini Flash Python
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Build a LLM app with RAG to chat with PDF files using Gemini Flash in just 4 lines of Python code (step-by-step instructions):
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Codestral Excels as Web Agent Action Model
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Codestral seems to to be really good as Action Model for Web Agents! Beating all other open models and even closed ones
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Awesome LLM Apps with RAG: GitHub Repository Showcase
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Find all the awesome LLM Apps demo with RAG in the following Github Repo. P.S: Don't forget to star the repo to show your support
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Streamlit Travel Agent Application Demo Tutorial
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Working Application demo using Streamlit
— Shubham Saboo (@Saboo_Shubham_) 8 juin 2024
Paste the above code in vscode or pycharm and run the following command: 'streamlit run travel_agent.py' pic.twitter.com/fPwqY5S9nKWorking Application demo using Streamlit Paste the above code in vscode or pycharm and run the following command: 'streamlit run travel_agent.py'
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Build AI Travel Itinerary Generator with Streamlit and Assistant
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5. Get User Input and Generate Itinerary • Create text inputs for the user to enter their travel destination and the number of days they want to travel for.
• When the button is clicked, run the Planner assistant to generate the itinerary and display it using 'st.write()' -
Creating AI Assistants: Researcher and Planner Instances
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4. Create and Initialize the AI Assistants Create instances of Assistants:
• Researcher: Searches for travel destinations, activities, and accommodations based on user preferences
• Planner: Generates a draft itinerary based on user preferences and research results
