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Section: AI Frameworks and SDKs · The most popular framework for building LLM-powered applications with chains, agents, and retrieval.
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The most popular framework for building LLM-powered applications with chains, agents, and retrieval.
Section: AI Frameworks and SDKs · The most popular framework for building LLM-powered applications with chains, agents, and retrieval.
Section: Links
Section: Developer tools · A framework for developing applications powered by language models.
Section: AI Frameworks (Build Your Own) · A framework for developing applications powered by large language models (LLMs).
Section: Building with Agents · Orchestration for chains and stateful, multi-step agents.
Section: 링크 · LLM 애플리케이션 개발을 위한 대표 프레임워크
Section: Developer tools · A framework for developing applications powered by language models.
Langchain integrates various providers like Anthropic, AWS, and OpenAI, and offers tools for components such as LLMs, chat models, and data analysis, supporting functionalities from Alpha Vantage to YouTube github | docs
Unified proxy and SDK that routes to 100+ LLM providers behind a single OpenAI-compatible interface, with a Router handling retry/fallback across deployments, per-project cost and rate-limit tracking, and OTEL callback integrations. The right infrastructure layer when your harness needs provider…
Test your prompts, models, RAGs. Evaluate and compare LLM outputs, catch regressions, and improve prompt quality. LLM evals for OpenAI/Azure GPT, Anthropic Claude, VertexAI Gemini, Ollama, Local & private models like Mistral/Mixtral/Llama with CI/CD
Semantic Kernel is an SDK that integrates Large Language Models (LLMs) like OpenAI, Azure OpenAI, and Hugging Face with conventional programming languages like C#, Python, and Java. Semantic Kernel achieves this by allowing you to define plugins that can be chained together in just a few lines of…
LLM engineering platform for model tracing, prompt management, and application evaluation. Langfuse helps teams collaboratively debug, analyze, and iterate on their LLM applications such as chatbots or AI agents. (Demo, Source Code, Clients) MIT Docker
is an ecosystem of open-source chatbots trained on a massive collections of clean assistant data including code, stories and dialogue based on LLaMa.