Building a Q&A App with RAG, LangChain, and Open-Source LLMs - Step-by-Step Guide
Step-by-step guide to building a Q&A application using RAG, LangChain, and open-source LLMs. Learn to create a sophisticated system leveraging cutting-edge AI technology for efficient question answering.
LangGraph AI Agents: The Future of Internet Search
Explore LangGraph AI agents for advanced internet searches. Learn to create, set up, and execute collaborative agents using LangChain, enhancing search capabilities and gaining deeper insights.
LangChain Fundamentals - Building Your First Chain
Learn to build your first LangChain, exploring Runnable, message formats, ChatModel, templates, and combining components for complex LLM-powered logic in just 14 minutes.
Lies, Damned Lies, and Large Language Models - Measuring and Reducing Hallucinations
Explore LLM hallucinations, measure misinformation using TruthfulQA dataset, and learn about retrieval augmented generation to enhance model reliability and accuracy.
Deploying Retrieval-Augmented Generation Applications with Ray, Hugging Face, and LangChain on Google Cloud
Deploy a Retrieval-Augmented Generation app using Ray, HuggingFace, and LangChain on Google Cloud. Learn to augment with custom data, deploy models, and develop applications rapidly.
Innovating with Open Generative AI - Llama Models and AI Chatbot Development
Explore open generative AI and Llama models' impact. Learn to build AI chatbots with LangChain, leverage the Llama ecosystem, and deploy AI responsibly using Purple Llama components.
Multimodal RAG with LangChain, VertexAI, Gemini Pro and Chroma
Aprende a construir aplicaciones RAG multimodales utilizando LangChain, VertexAI y Chroma para procesar eficientemente datos no estructurados como PDFs e imágenes.
Multimodal RAG with LangChain, VertexAI, Gemini Pro and Chroma
Master building multimodal RAG systems using LangChain and VertexAI SDK to process PDFs and images, implementing advanced data retrieval techniques with Chroma vector storage.
Deploying Generative AI Applications with Cloud Run and LangChain on Google Cloud
Master deploying Generative AI applications on Cloud Run, integrating LangChain with Cloud SQL's pgvector and Vertex Endpoints to build scalable, cost-effective AI solutions on Google Cloud.
RAG: Nvidia NIM Integration with Langchain for HTML Web Page Parsing
Descubre cómo implementar aplicaciones RAG utilizando Langchain y Nvidia NIM para extraer información de páginas HTML, integrando el modelo Mistral 8 7b Instruct para procesamiento avanzado.
RAG - Parsing HTML Content with BeautifulSoup and Nvidia NIM Integration in LangChain
Dive into building RAG systems by integrating Nvidia NIM with LangChain, using BeautifulSoup for HTML parsing and Mistral 8 7b Instruct as the foundation model.
Building Recommendation Systems with Vector Search - Women of Search
Explore building recommendation systems using vector search, focusing on Ref2Vec for user representation and bipartite graphs for user-product connections. Learn to enhance e-commerce experiences through advanced search techniques.
Prompt Engineering: 7 Tricks to Solve Problems with AI - Part 4
Master prompt engineering techniques to enhance AI problem-solving. Learn 7 key tricks and explore practical applications using LangChain for building AI-powered solutions.
Cancer Drug Discovery AI Agentic Workflow R&D
Explore AI agentic workflows for cancer drug discovery, leveraging advanced automation techniques to enhance compound lead generation and streamline the R&D process.
Tutorial de Prompting Usando LLMs, ChatGPT y LangChain - Lecciones Aprendidas en Proyectos Reales
Aprende técnicas avanzadas de prompting con LLMs, ChatGPT y LangChain basadas en experiencias de proyectos reales para mejorar tus habilidades en IA.
Generative AI Use Cases and Design Patterns with Databases
Explore real-world generative AI applications using Google Cloud Databases, Vertex AI, and LangChain. Learn RAG techniques for enterprise-grade solutions.
Building Generative AI Apps on Google Cloud with LangChain
Combine LangChain, Cloud Run, Cloud SQL's pgvector, and Vertex Endpoints to create and deploy production-ready generative AI applications on Google Cloud.
Document Summarization: Langchain Summarization Chains, Clustering and LLMs
Explore document summarization using Langchain, Hugging Face Transformers, and clustering techniques for efficient text analysis and insights.
Document Similarity: Langchain Sentence Transformers and Chroma
Explore document similarity using Langchain, HuggingFace Transformers, and Chromadb. Learn to create embeddings and implement vector storage for efficient text analysis and classification.
Langchain Document Summarization Using Fine-Tuned T5 and Clustering
Aprenda a utilizar Langchain para resumir textos usando T5 ajustado e clustering, com demonstração prática e notebooks disponíveis.
Neo4J as Vector Store with Langchain, OpenAI, and Wikipedia
Explore Neo4J as a vector store using Langchain, OpenAI embeddings, and Wikipedia data for advanced data science and machine learning applications.