Cerul
cerul-ai
The video search layer for AI agents. Search video by meaning — across speech, visuals, and on-screen text.
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Results: 418
cerul-ai
The video search layer for AI agents. Search video by meaning — across speech, visuals, and on-screen text.
haoyiyin
Open-source AI customer support platform — RAG knowledge base, multi-provider LLM agents, embeddable chat widget. FastAPI + Next.js + pgvector.
huabeitech
Open-source AI customer support system. AI-first support, human-ready operations.
marcominerva
A Blazor Web App and Minimal API for performing RAG (Retrieval Augmented Generation) and vector search using the native VECTOR type in Azure SQL Database and Azure OpenA…
JuliusBrussee
Cross-agent persistent memory for coding assistants. Stored compressed. Retrieved fast. Local by default.
automataIA
GraphRAG-rs is a high-performance, state-of-the-art Rust implementation of GraphRAG (Graph-based Retrieval Augmented Generation) that builds knowledge graphs from docume…
evanhu1
Talk to any ArXiv paper using ChatGPT
unbody-io
The Supabase of AI era. A modular, open-source backend for building AI-native software — designed for knowledge, not static data.
tonykipkemboi
A full-stack demo showcasing a local RAG (Retrieval Augmented Generation) pipeline to chat with your PDFs.
llm-lab-org
A Survey on Multimodal Retrieval-Augmented Generation
Happy-Chen-CH
面向教育场景的RAG智能问答系统,融合关键词匹配与语义检索双引擎,融合MySQL和RAG技术,先经过MySQL数据库的检索(还融合了Redis辅助储存和搜索),若无符合条件答案,则进入RAG系统,RAG知识库中的知识储存在Milvus向量数据库中
Build5Nines
Lightweight, In-memory, Semantic Search, Text Vector Database to embed in any .NET Application
olonok69
Notebooks and Code about Generative Ai, LLMs, MLOPS, NLP , CV and Graph databases
microsoft
Secure AI conversations with documents, video, audio, and more. Personal workspaces for focused context, group spaces for shared insight. Classify docs, reuse prompts, a…
pheonix-delta
Run a <400ms latency Voice Agent on just 4GB VRAM. Fully offline, no API keys required. Optimized for GTX 1650 and edge robotics with zero-copy inference. (Apache 2.0)
supabase-community
Production-ready MVP for securely chatting with your documents using pgvector
Design direction, Figma implementation, UI review, React performance, browser QA, and safe preview deployments.
Code review, repo inspection, testing, planning, shipping, and engineering workflows for coding agents.
Research, recent-events briefings, PDF parsing, markdown conversion, RAG ingestion, and knowledge workflows.
Stock analysis, market research, quant backtesting, financial data, and investment research skills.
Crawling, scraping, extraction, browser automation, structured data capture, and website-to-markdown workflows.
Video-generation prompts, B-roll, Vox-style explainers, camera direction, captions, and creative-production workflows.
Image, video, creative production, UI design, multimodal generation, and visual workflow skills.
Data analysis, analytics, ETL, notebooks, databases, tables, charts, and reporting workflows.