SDK from Microsoft for planning, skills, and memory management in LLM applications (C# & Python).

Library for indexing and retrieving data (PDFs, databases, Notion) to power retrieval-augmented generation.

SDK for building robust, enterprise-grade LLM workflows with emphasis on reliability and observability.

Open-source, low-code visual builder for designing LLM workflows and integrations without programming.

Toolkit for fine-tuning, deploying, and serving chat-optimized LLMs at scale with low latency.

Framework for running multiple cooperative or competitive LLM agents with defined roles and communication.

Toolkit for orchestrating conversation flows between multiple LLM agents to solve complex tasks.

Neural search framework for building production-ready, retrieval-augmented generation systems with vector indexes.

A framework for building multi-step LLM applications using chains, agents, memory, and tool integrations.

Compiler for declaratively defining and optimizing LLM-based pipelines in a reproducible manner.

Service for logging, debugging, and managing prompts across LLM providers and versions.

Modular framework for building retrieval-augmented generation pipelines with document stores and retrievers.

Swift Lessons: Llm Frameworks

Orchestration