GenAI

Rig: Build modular and scalable LLM Applications in Rust. Unified LLM interface, Rust-powered performance, and advanced AI workflow abstractions for efficient development.

I just wanted to validate if it's ok to initialize/compile the graph once and then use it to serve multiple parallel requests in a web application. In other words is the shared state passed fro...

Learn all you need to implement streaming in production using SSE and how to handle streaming errors.

How Codeium went from 0 to $10m in ten months, What enterpriseready.io got wrong. A comprehensive braindump on how to be Enterprise Infra Native!

Use Prompt Canvas in LangSmith to collaborate with an AI agent to build and optimize your prompts.

AI engineering from first principles

Machine learning algorithms usually operate as black boxes and it is unclear how they derived a certain decision. This book is a guide for practitioners to make machine learning decisions interpretable.

Learn how to overcome them using knowledge graphs and structured tools

Learn to build an agentic RAG system with LangChain, MyScaleDB, VoyageAI, and Tavily for dynamic Q&A that adapts to real-time data and knowledge base searches.

✒️Kiroku is a multi-agent system that helps you organize and write documents Really complex agent (see the diagram below!) that HEAVILY involves a "human in…

Learn how to find the data types of properties in Neo4j Graph Database using the Cypher query language and APOC.

📃 A better UX for chat, writing content, and coding with LLMs. - langchain-ai/open-canvas

❇️ Quickly build knowledge graphs from unstructured text documents Easily implement knowledge graph retrievers combining graph traversals and vector… — Neo4j (@neo4j)

LlamaIndex is a simple, flexible framework for building knowledge assistants using LLMs connected to your enterprise data.

Manage multiple AI agents and handle complex conversations

a Building GenAI Apps LP video

a Deploying and Evaluating GenAI Apps Learning Badge LP video

LlamaIndex is a simple, flexible data framework for connecting custom data sources to large language models (LLMs).

21 Lessons, Get Started Building with Generative AI 🔗 https://microsoft.github.io/generative-ai-for-beginners/ - microsoft/generative-ai-for-beginners

A step-by-step guide with my learnings from 30+ AI implementations.

This post will explain how you can implement complex agentic ReAct flows using LangGraph and LangGraph Studio. Basic Python knowledge is…

We’re publishing 2 full-length tutorial videos showing you how to implement various agentic RAG techniques - adding LLM layers to reason over inputs and post… | 12 comments on LinkedIn

This weekend, check out one of the most comprehensive tutorials we’ve seen on building an e2e research agent with nested workflows for 1) research, and 2) generating a Powerpoint deck with human-in-the-loop.… — LlamaIndex 🦙 (@llama_index)

(And why should anyone working with RAG over PDFs care?) ColPali makes information retrieval from complex document types - like PDFs - easier. Information retrieval from PDFs is hard because they contain various components: Text, images, tables,… — Leonie (@helloiamleonie)

Inspired by ColBERT’s success with text, ColPali splits an image of a document into patches, which are then processed through a vision LLM called PaliGemma. The embeddings for… — Victoria Slocum (@victorialslocum)