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── 99044 repos indexed ── | filtered by tag: #llm-prompting
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pathwaycom/llm-app ★ 58853 1501 APPLICATION

This repository is a collection of deployable templates and educational cookbooks for building real-time LLM applications using the Pathway framework. It provides ready-to-deploy RAG (Retrieval-Augmented Generation) solutions with live data synchronization from various sources (files, Google Drive, SharePoint, etc.), built-in vector and hybrid search, and integration with LangGraph for agentic workflows. The templates are production-oriented with Docker support, while the cookbooks demonstrate advanced patterns like Self-RAG with self-reflection and query rewriting. The codebase is well-structured but exhibits some duplication across templates, and the core logic relies heavily on the external Pathway library.

RATING: 8.3/10 MAINT: active DRIFT: low
#rag #llm-app #pathway #real-time #vector-search #langgraph #self-rag #chatbot #hugging-face #llm #llm-local #llm-prompting #llm-security #llmops #vector-index #open-ai #vector-database #retrieval-augmented-generation #machine-learning
▸ 3 reusable components found
paolaoshi/ComfyUI-dapaoAPI ★ 230 11 APPLICATION

This repository is a ComfyUI custom node pack (ComfyUI-dapaoAPI) that provides a comprehensive suite of nodes for AI-powered image, video, audio, and text generation. It acts as a unified relay client to multiple commercial AI services (dapaoAI, RunningHub, Gemini, Seedance, Wan, etc.), abstracting API details, handling media preprocessing, error diagnostics, task queue persistence, and concurrent batch execution. The architecture is a classic ComfyUI extension: each node type is defined as a Python class with input/output specifications, and shared utility modules (e.g., `dreamshark_runtime` for job submission, `image_input_utils` for tensor-to-PNG conversion, `node_error_utils` for formatted error handling) are used across all generation nodes. A front-end JavaScript layer adds dynamic widget behavior, price badges, and rich prompt editors within ComfyUI's existing UI framework. The pack notably includes a hybrid nature: it bundles a `skills/` directory containing detailed markdown-based AI agent instructions (for short drama writing, music caption rewriter, article formatting, GPT image templating) that are injected into LLM prompts during node execution or used as standalone agent guides. These skills are not data pipelines but rather structured knowledge assets for prompt engineering, giving the repository a dual character as both a custom node collection and an LLM orchestration framework.

RATING: 7.7/10 MAINT: active DRIFT: medium
#comfyui #custom-nodes #image-generation #video-generation #api-integration #llm-prompting #ai-workflow #media-processing
▸ 4 reusable components found
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