Daily Dose of Data Science | Avi Chawla | Substack·1y5 Agentic AI Design Patterns
Explore five agentic AI design patterns that enhance the effectiveness of AI agents through reflection, tool use, reason and act, planning, and multi-agent approaches. Learn how Firecrawl Extract facilitates web scraping by using simple English prompts to extract clean, structured data. Discover additional resources on machine learning techniques and data science provided by Daily Dose of Data Science.
Daily Dose of Data Science | Avi Chawla | Substack·1yPandas Mind Map
A detailed mind map of various Pandas methods categorized by their operation types, including I/O methods, DataFrame creation, statistical information, renaming, plotting, time-series, grouping, pivot, and categorical data methods. Additional ML resources and techniques are also provided for developing industry-relevant skills.
Daily Dose of Data Science | Avi Chawla | Substack·1y[Hands-on] RAG Over GitHub Repos
Ragie Connect offers a comprehensive infrastructure for building RAG applications over user data by handling authentication, authorization, and syncing from sources like Google Drive and Salesforce. This guide demonstrates how to create a RAG app over GitHub repositories using GitIngest to parse the repo and Llama-3.2 as the LLM. The process involves parsing the GitHub repo, setting up the LLM, embedding the data, and creating an index for interaction, with a neat interface and a promise for more advanced techniques in future guides.
Daily Dose of Data Science | Avi Chawla | Substack·1yA crash course on RAG systems—Part 9
Part 9 of the crash course on RAG systems provides a comprehensive guide to building powerful RAG systems with a focus on vision language models. It includes a detailed breakdown of ColPali, a state-of-the-art RAG system, showcasing its scalability, accuracy, and integration with binary quantization for low latency applications. The series is beginner-friendly and covers everything from fundamentals to advanced optimization and multimodal applications.
Daily Dose of Data Science | Avi Chawla | Substack·1yBuild Human-like Memory for Your AI Agents
Zep introduces a temporally-aware knowledge graph for AI agents, addressing real-time knowledge updates and fast data retrieval. The architecture comprises three layers: episodic memory for storing raw data, semantic memory for extracting entities and relationships, and community memory for summarizing related entities. This design improves accuracy by up to 18.5% and reduces latency by 90% compared to traditional approaches like MemGPT.
Daily Dose of Data Science | Avi Chawla | Substack·1yOur Two Agentic Apps Built with CrewAI
CrewAI is an open-source framework designed for orchestrating advanced AI agent systems. It offers customizable agents, collaborative intelligence, flexible task management, reliable architecture, and versatile orchestration. The post highlights two demos: an automated social media content generator and a multi-agent news generator, showcasing CrewAI's capabilities.