☁️ Build multimodal AI applications with cloud-native stack
- neural-search
- cloud-native
- deep-learning
- machine-learning
Repository Index
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🏄 Scalable embedding, reasoning, ranking for images and sentences with CLIP
- bert
- sentence-encoding
- deep-learning
- clip-model
Convert any URL to an LLM-friendly input with a simple prefix https://r.jina.ai/
Keep searching, reading webpages, reasoning until it finds the answer (or exceeding the token budget)
- deepresearch
- deepsearch
An agentic extractor for messaging platforms. Noria receives messages & URLs via chat; scrapes web data to evaluate the content against custom scoring matrices (e.g., jobs, scholarships); and sends a structured summary with a calculated match score directly to the assigned messenger number.
- ai-agent
- automation
- data-extraction
- event-driven-architecture
Professional-grade, local-first browser extension that transforms any webpage into high-fidelity, LLM-friendly Markdown entirely within the browser's runtime. Zero-cloud, privacy-centric, and designed specifically for AI workflows.
- ai-workflows
- browser-extension
- chrome-extension-
- clipboard-api
🪩 Create Disco Diffusion artworks in one line
- creative-ai
- disco-diffusion
- cross-modal
- dalle
基于LangChain和ChatGLM-6B等系列LLM的针对本地知识库的自动问答
Self-hosted web scraper, crawler and document parser for AI agents: URLs, PDFs with OCR and Office files to clean Markdown/JSON. Firecrawl- and Jina-compatible API, MCP server, agent endpoint, Python/Node SDKs. Single Rust binary.
- ai-agents
- browser-automation
- data-extraction
- firecrawl
Compile JavaScript to Dart so that you can compile it back to JavaScript and run.