Ollama Pdf RAG
tonykipkemboi
A full-stack demo showcasing a local RAG (Retrieval Augmented Generation) pipeline to chat with your PDFs.
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tonykipkemboi
A full-stack demo showcasing a local RAG (Retrieval Augmented Generation) pipeline to chat with your PDFs.
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
llm-lab-org
A Survey on Multimodal Retrieval-Augmented Generation
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…
agencyenterprise
PromptInject is a framework that assembles prompts in a modular fashion to provide a quantitative analysis of the robustness of LLMs to adversarial prompt attacks. 🏆 Be…
supabase-community
Production-ready MVP for securely chatting with your documents using pgvector
chaitin
KoalaQA 是一款 AI 大模型驱动的开源售后服务社区,提供 AI 回答、AI 搜索、AI 运营等能力,帮助你快速落地售后客服、社区问答、自助服务等场景,帮助团队显著降低人工运营成本、提升客户满意度与响应效率,助力实现 ZCR(Zero Contact Resolution)目标。
RailtownAI
An agentic framework that helps developers build resilient agentic systems
Citrus-bit
Anaxa 是一个面向科研工作流的开源智能体系统。它不是单纯的聊天机器人,也不是无人监管的自动发论文机器,而是把文献检索、证据审计、实验执行、论文写作、同行评审式检查和最终产物打包放进同一个可追踪的研究生命周期中。
AIRLab-POLIMI
BTGenBot: a system to generate behavior trees for robots using lightweight (~7 billion parameters) large language models (LLMs)
QSong-github
🦀 Agentic RAG for drug intelligence · 57 skills · 15 task categories · DTI · ADR · DDI · PGx · Repurposing · Powered by LangGraph
YunjueTech
Yunjue Agent: A Fully Reproducible, Zero-Start In-Situ Self-Evolving Agent System for Open-Ended Tasks
x-glacier
本项目为Generative Agents项目的重构+深度汉化版本,旨在为中文用户提供一个利于维护的基础版本,以便后续实验或功能拓展。
mirror29
🦊 Open-source professional quant agent framework. Agents pick the factors working now to time entries, write full strategies, and evolve them in a sandbox — every order…
tgoai
Open-source AI Agent Customer Service Platform. Build AI agent teams with LLM orchestration, RAG knowledge base, multi-channel support, and human collaboration.