next-plaid
NextPlaid, ColGREP: Multi-vector search, from database to coding agents.
HYSEN LABS DIRECTORY
Capability tag · curated repositories and deep analysis.
NextPlaid, ColGREP: Multi-vector search, from database to coding agents.
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。
[ICLR 2026] LinearRAG: Linear Graph Retrieval Augmented Generation on Large-scale Corpora
One-stop handbook for building, deploying, and understanding LLM agents with 60+ skeletons, tutorials, ecosystem guides, and evaluation tools.
👩🏻🍳 A collection of example notebooks using Haystack
SDK monorepo for Ethora chat / messaging platform. (1) Pick an SDK for your frontend stack. (2) Integrate manually or using ethora-setup. (3) Optionally configure app settings, deploy AI agents etc. Server: ethora.com cloud [free]. Dedicated server + SLA option for enterprise customers.
Hermes-native AIOps agent for evidence-driven incident response, approval-gated remediation, and runbook learning.
Summarize and query from a lot of heterogeneous documents. Any LLM provider, any filetype, advanced RAG, advanced summaries, scriptable, etc
A full-stack demo showcasing a local RAG (Retrieval Augmented Generation) pipeline to chat with your PDFs.
AWS Generative AI CDK Constructs are sample implementations of AWS CDK for common generative AI patterns.
Caura (formerly MemClaw) — governed shared memory for AI agent fleets. Multi-agent, multi-tenant, MCP-native. Trust tiers, keystone policies, audit trails, knowledge graph, self-improving retrieval. Apache 2.0.
Interesting LLM projects that I created for my YouTube channel using Ollama's open-source models.
Turn any document into clean, AI-ready Markdown. Local-first desktop app: reads scanned PDFs, batches folders, runs offline, and uses far fewer tokens than vision models.
Blog system of runs on Microsoft Azure. Azure Blob Storage (Recommended) Create an Azure Blob Storage container with appropriate permissions: Enable CDN in admin settings for faster image delivery.
Graph engineering for AI agents: the 9-stage knowledge-graph pipeline (translated from SEU's graduate course) + task-graph orchestration patterns, as a Claude skill with teaching mode and paste-ready workflows
Talk to any ArXiv paper using ChatGPT
GraphRAG-rs is a high-performance, state-of-the-art Rust implementation of GraphRAG (Graph-based Retrieval Augmented Generation) that builds knowledge graphs from documents and enables natural language querying with configurable entity extraction and local LLM integration
Hybrid RAG system combining vector search, knowledge graph (LightRAG), and cross-encoder reranking — with Docling document parsing, visual intelligence (image/table captioning), agentic streaming chat, and inline citations. Powered by Gemini or local Ollama models.
The Supabase of AI era. A modular, open-source backend for building AI-native software — designed for knowledge, not static data.
📚 A zero-dependency, git-backed micro-lesson library for AI Agents to asynchronously share and search verified debugging experience. Python stdlib only. |