Building an Advanced Agentic RAG System with Langchain, Ollama, and Milvus
Explore the cutting-edge world of Agentic Retrieval-Augmented Generation (RAG) systems in this 31-minute conference talk from Devoxx. Discover how to construct an advanced Agentic RAG system using open-source technologies like Langchain, Ollama, and Milv…
Running Open Large Language Models in Production with Ollama and Serverless GPUs
Explore the deployment of open large language models in production environments using Ollama and serverless GPUs. Learn why companies are increasingly interested in running open models like Gemma and Llama, which offer full control over deployment, model…
Instalación y Uso de Ollama para Modelos de Lenguaje - Data Science y Machine Learning
Aprende a instalar y utilizar Ollama, implementando modelos como Llama2 o Mistral 7B para generar texto, chatear y crear embeddings.
Document Similarity: Langchain, Ollama Mistral 7B, and Chroma in Spanish
Aprende a clasificar documentos usando Langchain, Ollama con Mistral 7B y Chromadb para análisis de similitud en español.
Llama 2, Ollama and Pinecone: Searching in Vector Stores
Instala y utiliza OLLAMA y Pinecone para crear embeddings con LLama2 7B, subir contenido a la base de vectores y realizar consultas eficientes.
Microsoft AI: Semantic Kernel and RAG Dynamic Prompts in Spanish
Explora el Semantic Kernel de Microsoft y crea componentes RAG con prompts dinámicos usando Ollama y modelos personalizados en C#.
Microsoft AI: Semantic Kernel C# SDK Integration with Ollama
Integra Ollama y modelos de la librería con Semantic Kernel de Microsoft en C#. Aprende a utilizar estas herramientas de IA para proyectos de aprendizaje automático.
Solving Real-World Data Science Problems with LLMs - Historical Document Analysis
Learn to analyze historical documents using Python and LLMs. Covers entity parsing, document connection, and data insights extraction. Practical application with Freedmen's Bureau dataset and both closed and open-source LLMs.
Microsoft AI: Semantic Kernel and RAG Dynamic Prompts with C# - Data Science and Machine Learning
Explore RAG component creation using Dynamic Prompts with Microsoft Semantic Kernel, utilizing Ollama Framework and Phi3 Mini model in C#.
Rust Ollama Tutorial - Interfacing with Ollama API Using ollama-rs
Learn to interface with Ollama HTTP API using ollama-rs library in Rust. Covers generation, context handling, chat functionality, and embeddings through hands-on examples and practical coding.
Python RAG Tutorial - AI for PDFs with Local LLMs
Build a Python RAG app to query PDFs using AI. Learn advanced topics like local execution, vector DB updates, file handling, and response quality testing.
Building RAG Systems: From Vector Embeddings to Self-Reflective CRAG - 5 Python Notebooks
Explore practical RAG implementations through 5 Python notebooks, from basic text embeddings to advanced self-reflective systems using LlamaIndex, Ollama, and ReAct Agent frameworks.
The GenAI Stack - From Zero to Database-Backed Support Bot
Build a GenAI support bot using Docker, Neo4j, LangChain, and Ollama. Learn to create vector embeddings, integrate LLMs with knowledge graphs, and develop natural language Q&A systems.
Image Annotation with LLaVA and Ollama
Learn to annotate images using LLava 1.6 and Ollama. Explore file handling, image loading, API integration, and data management in this practical tutorial on building an image captioning application.
Learn AI Engineering: Building Autonomous Agent Systems with Llama 3 8B - Ollama
Explore autonomous agent creation using LLMs, focusing on Llama 3 8B and Claude 3 Haiku. Learn to build and expand a basic system with Python, incorporating functions and tools for task-solving.
Llama 3 8B - Building Local AI Agents with Function Calling - Full Tutorial
Learn to build AI agents with Llama 3 8B, exploring function calling, tool creation, and customization. Hands-on tutorial for developing powerful local language models with practical applications.
Llama 3 - 8B and 70B Models Deep Dive and Implementation Guide
Explore Llama 3's 8B and 70B models: capabilities, benchmarks, and deployment options. Learn about scaling, licensing, and future developments in this comprehensive overview of Meta AI's latest language model release.
Qwen 2 - Analyzing Reasoning and Creativity Capabilities
Explore Qwen 2's capabilities in reasoning and creativity, comparing its performance to other models. Learn about its multilingual support, agent features, and see practical demonstrations.
Building Local Llama Agents with Mistral and Arcee Agent
Explore building local Llama Agents using Mistral and Arcee models. Learn to create AI agents with open-source tools for tasks like calculation and NLP analysis.
37% Better Output with 15 Lines of Code - Llama 3 Improved RAG
Improve RAG performance for Llama 3 models with simple code modifications, enhancing output quality by 37% for both local 8B and cloud-based 70B versions.
Llama 2, Ollama and Pinecone - Vector Database Search for Machine Learning and Data Science
Explore embedding and searching text using Llama 2, Ollama, and Pinecone Vector Database for efficient information retrieval in machine learning projects.