Awesome AI Coding Tools
Section: AI Frameworks and SDKs · Data framework for connecting LLMs to external data sources with indexing and retrieval.
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Appears in 6 awesome lists
Data framework for connecting LLMs to external data sources with indexing and retrieval.
Section: AI Frameworks and SDKs · Data framework for connecting LLMs to external data sources with indexing and retrieval.
Section: Developer tools · A data framework for building LLM applications over external data.
Section: AI Frameworks (Build Your Own) · A framework for building context-augmented generative AI applications with LLMs.
Section: Building with Agents · Data framework for retrieval over your own documents.
Section: 링크 · LLM과 데이터를 연결하는 RAG 프레임워크
Section: Developer tools · A data framework for building LLM applications over external data.
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…
Microsoft's multi-agent conversation framework with a complete AgentChat layer covering agent loop, tool integration, termination conditions, and human-in-the-loop. The most comprehensive open-source reference for large-scale multi-agent harness design.
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.