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Introduction to LLM App Development Workshop: PDF Q&A App using OpenAI, Langchain, and Chainlit
Java version of LangChain
Five lessons, learn how to really apply AI to your .NET Applications
Chat with your documents offline using AI.
Explore machine learning and data science with Codespaces
Querying local documents, powered by LLM
Embeddable vector database for Go with Chroma-like interface and zero third-party dependencies. In-memory with optional persistence.
Admin UI for Chroma embedding database built with Next.js
A template project to run Rust functions in Node.js through the Second State WebAssembly engine.
Machine is a workflow/pipeline library for processing data
.NET Student Zone .NET Conference
