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topic:RAG

Long-Term Agentic Memory With LangGraph

Learn to build AI agents with long-term memory with LangGraph, using LangMem for memory management.

Agents Chatbots Embeddings Evaluation and Monitoring GenAI Applications LLMOps Prompt Engineering RAG Search and Retrieval Vector Databases

LangChain for LLM Application Development

Use the powerful and extensible LangChain framework, using prompts, parsing, memory, chains, question answering, and agents.

LangChain

AI Frameworks Agents Chatbots Generative Models Prompt Engineering RAG

LangChain Chat with Your Data

Create a chatbot with LangChain to interface with your private data and documents. Learn from LangChain creator, Harrison Chase.

LangChain

Computer Vision Document Processing Embeddings RAG Vector Databases

Large Language Models with Semantic Search

Learn to use LLMs to enhance search and summarize results, using Cohere Rerank and embeddings for dense retrieval.

Cohere

Embeddings NLP RAG Search and Retrieval Vector Databases

How Business Thinkers Can Start Building AI Plugins With Semantic Kernel

Learn Microsoft's open source orchestrator, Semantic Kernel and use LLM building blocks such as memory, connectors, chains and planners in your apps.

Microsoft

AI Frameworks Chatbots GenAI Applications Prompt Engineering RAG

Understanding and Applying Text Embeddings

Learn how to accelerate the application development process with text embeddings for sentence and paragraph meaning.

Google Cloud

Embeddings GenAI Applications NLP RAG Search and Retrieval

Functions, Tools and Agents with LangChain

Learn about the latest advancements in LLM APIs and use LangChain Expression Language (LCEL) to compose and customize chains and agents.

LangChain

AI Frameworks Agents Chatbots Generative Models Prompt Engineering RAG

Vector Databases: from Embeddings to Applications

Design and execute real-world applications of vector databases. Build efficient, practical applications, including hybrid and multilingual searches.

Weaviate

Embeddings GenAI Applications RAG Search and Retrieval Vector Databases

Building and Evaluating Advanced RAG

Learn advanced RAG retrieval methods like sentence-window and auto-merging that outperform baselines, and evaluate and iterate on your pipeline's performance.

TruEra, LlamaIndex

AI Frameworks Evaluation and Monitoring GenAI Applications LLMOps RAG Search and Retrieval

Advanced Retrieval for AI with Chroma

Learn advanced retrieval techniques to improve the relevancy of retrieved results. Learn to recognize poor query results and use LLMs to improve queries.

Chroma

Embeddings Fine-Tuning GenAI Applications RAG Search and Retrieval

Build LLM Apps with LangChain.js

Expand your toolkit with LangChain.js, a JavaScript framework for building with LLMs. Understand the fundamentals of using LangChain to orchestrate and chain modules.

LangChain

AI Frameworks Chatbots GenAI Applications Prompt Engineering RAG Search and Retrieval

Knowledge Graphs for RAG

Learn how to build and use knowledge graph systems to improve your retrieval augmented generation applications. Use Neo4j's query language Cypher to manage and retrieve data.

Neo4j

Embeddings GenAI Applications RAG Search and Retrieval Vector Databases

JavaScript RAG Web Apps with LlamaIndex

Build a full-stack web application that uses RAG capabilities to chat with your data. Learn to build a RAG application in JavaScript, using an intelligent agent to answer queries.

LlamaIndex

AI Frameworks GenAI Applications Prompt Engineering RAG Search and Retrieval

Preprocessing Unstructured Data for LLM Applications

Improve your RAG system to retrieve diverse data types. Learn to extract and normalize content from a wide variety of document types, such as PDFs, PowerPoints, and HTML files.

Unstructured

Computer Vision Document Processing GenAI Applications RAG Vector Databases

Explore Mistral's open-source and commercial models, and leverage Mistral's JSON mode to generate structured LLM responses. Use Mistral's API to call user-defined functions for enhanced LLM capabilities.

Mistral AI

Embeddings Generative Models Prompt Engineering RAG

Building Agentic RAG with Llamaindex

Build autonomous agents that intelligently navigate and analyze your data. Learn to develop agentic RAG systems using LlamaIndex, enabling powerful document Q&A and summarization. Gain valuable skills in guiding agent reasoning and debugging.

LlamaIndex

AI Frameworks Agents GenAI Applications Prompt Engineering RAG Search and Retrieval

Building Multimodal Search and RAG

Build smarter search and RAG applications for multimodal retrieval and generation.

Weaviate

Embeddings MultiModal RAG Search and Retrieval Vector Databases

Multi AI Agent Systems with crewAI

Automate business workflows with multi-AI agent systems. Exceed the performance of prompting a single LLM by designing and prompting a team of AI agents through natural language.