Neo4J Knowledge Graph: Topic Extraction with Langchain and Phi3 - Part 1
Explore topic extraction for knowledge graphs using Neo4J, Langchain, and Microsoft Phi3. Learn to enrich movie databases with themes from TMDB.org overviews.
Developing AI Applications in Java with Quarkus and Langchain4j
Explore AI application development using Quarkus and Langchain4j. Learn to build chatbots, autonomous agents, and leverage image-generating models in Java for cloud-native AI solutions.
History of Language Models: Evolution, Frameworks, and Deployment
Explore language models' evolution from early systems to neural networks, transformers, and large-scale pretraining. Gain insights on key frameworks and real-world deployment strategies.
LangGraph Simplified: Master Custom AI Agent Creation - Web Search Agent Tutorial
Simplify LangGraph concepts and create a custom web search AI agent through a Python tutorial. Learn core principles and practical implementation for AI development.
LangGraph AI Agent Upgrade: Integrating Groq, Gemini, and Chainlit Front End
Upgrade a LangGraph AI agent with Groq, Gemini, and Claude integrations, fix bugs, and create a stylish Chainlit front-end for web searching capabilities similar to Perplexity.
Meta-Prompting Technique for Building High-Level AI Agents
Explore meta-prompting techniques to build flexible AI agents. Learn implementation, web search integration, and evaluate strengths and weaknesses of this powerful prompt engineering approach.
Neo4j Knowledge Graphs for Smarter AI-Agent Search
Explore how Neo4j knowledge graphs enhance AI agent search, improving response quality through advanced AI engineering techniques like meta-prompting and RAG.
AI Agent for Deep Web Search with O1 Preview - Open-Source Alternative to Perplexity
Explore Jar3d, an open-source AI agent for deep web research using LangGraph and o1-preview. Learn its setup, capabilities in complex tasks, and advantages over traditional search engines.
Building Context-Aware Reasoning Applications with LangChain and LangSmith
Explore context-aware reasoning in LLM applications. Learn about cognitive architectures, LangChain, and LangSmith for building differentiated AI products. Gain insights on evaluation and practical techniques.
Advanced RAG Scenarios: Building Your Own Database Agents - Developing AI Agents for Natural Language Database Interaction
Develop AI agents for natural language database interactions, enabling efficient data querying and analysis without advanced SQL knowledge.
Python AI Web Scraper Tutorial - Using AI to Scrape Any Website
Learn to build an AI-powered web scraper using Python, Selenium, BeautifulSoup, and LangChain. Extract specific information from websites with AI-driven parsing and overcome common scraping challenges.
Chat with Database using LangChain - Lecture 5
Learn to interact with MySQL databases using LangChain and LLMs. Create an app that translates English inputs into SQL queries, retrieves data, and presents results.
Getting Started with LangGraph - Building Stateful Multi-AI Agents - Tutorial 1
Learn to create stateful, multi-actor LLM applications using LangGraph. Explore graph structure, state management, and coordination for sophisticated agent runtimes extending LangChain capabilities.
End-to-End Multi AI Agents RAG with LangGraph, AstraDB, and Llama 3.1
Explore multi-agent AI systems using LangGraph, AstraDB, and Llama 3.1. Learn to build advanced RAG applications with vector databases and open-source models.
Local RAG with Llama 3.1 for PDFs - Private Chat with Documents using LangChain and Streamlit
Build a local RAG system for PDFs using LLMs, LangChain & Streamlit. Extract text, create vector stores, implement advanced retrieval, and integrate local/remote LLMs for efficient document processing.
Advanced AI Agents for Cryptocurrency Market Analysis with LangGraph
Build a cryptocurrency analysis system with AI agents using LangGraph. Create agents to analyze markets, fetch data, search news, and generate comprehensive reports on Bitcoin, Ethereum, and Solana.
LangChain Tutorial for Generative AI
Explore LangChain's key features, components, and real-world applications for seamless AI tool integration. Learn installation, core concepts, and practical strategies to enhance AI-driven communication.
LangGraph Deep Dive: Building AI Research Agents with Graphs
Build an AI research agent using LangGraph, exploring its graph-based approach for flexible execution. Learn to integrate tools like GPT-4, Pinecone, arXiv, and Google for in-depth report generation on chosen topics.
Local LangGraph Agents with Llama 3.1 and Ollama - Building a Pizza Recommendation Agent
Build a local pizza recommendation agent using LangGraph, Ollama, and Llama 3.1. Learn to integrate Reddit API, create agent nodes, and construct an AI graph for personalized suggestions.
State-of-the-Art Retrieval Augmented Generation at Scale in Spark NLP
Efficient scaling of RAG systems using Spark NLP: pre-processing, embedding calculation, post-processing, and integration with LangChain and HayStack for production-grade LLM systems.
Building Enterprise-Grade GenAI Apps with MLflow and Vector Search
Explore enterprise-grade GenAI app development using MLflow and Vector Search, focusing on data protection, AI deployment challenges, and leveraging proprietary information securely with Databricks tools.