Chroma · Retrieval-augmented generation

Shows how to store documents and embeddings in Chroma, query them by similarity with metadata filters, and persist them to disk for RAG and semantic search projects.

Orchestra-Research/AI-Research-SKILLs

Process documents with Blockify API to create optimized IdeaBlocks for RAG.

iternal-technologies-partners/blockify-agentic-data-optimization

LLM Operations -- RAG, embeddings, vector databases, fine-tuning, prompt engineering avancado, custos de LLM, evals de qualidade e arquiteturas de IA para producao.

davila7/claude-code-templates

Build local-first AI agents that run entirely on a developer workstation with Microsoft Foundry Local and Qwen function-calling models.

microsoft/ai-agents-for-beginners

Build local-first AI agents wey dey run fully for developer workstation wit Microsoft Foundry Local and Qwen function-calling models.

microsoft/ai-agents-for-beginners

RAG-specific best practices for LlamaIndex, ChromaDB, and Celery workers.

llama-farm/llamafarm

Bumuo ng mga local-first AI agents na tumatakbo nang buong-buo sa isang developer workstation gamit ang Microsoft Foundry Local at Qwen function-calling models.

microsoft/ai-agents-for-beginners

本地向量知识库，支持按项目管理文档（docx/doc/pdf/md），语义检索。默认用硅基流动免费 API，零模型安装即可使用。支持多项目隔离、中文制度文档专用切片、Embedding+Rerank 两阶段检索。触发词：知识库、向量检索、RAG、制度检索、文档入库、语义搜索、local…

nigo81/nigo-skills