⚡️ Real-time Knowledge Graph for AI Agents. Connect LLMs to verified weather, stock, and currency data via instant tool-calling. No API keys, no scrapers, just grounded facts in <100ms.
llm-grounding 开源项目推荐(17 个)
llm-grounding 话题在 GitHub 上没有填写简介,这里按 Star 数汇总最相关的热门仓库。
热门项目 全部 17
GitHub 共 17 个仓库,已全部展示Agent-native multi-provider web search for AI agents (Claude Code, Hermes, DeepSeek Harness, OpenCode, Codex). Model grounding (Responses, ARK) + semantic search (Exa, Parallel) + keyless defaults via MCP, CLI, and DSH plugin.
76,907 phytochemical records enriched with PubMed, ClinicalTrials.gov, ChEMBL bioactivity & USPTO patents. Production-ready JSON + Parquet. Free 400-row sample. Full dataset: ethno-api.com
Model Context Protocol server for OpenSERP search engine API
TypeScript / JavaScript SDK for the OpenSERP multi-engine SERP API - Google, Bing, Yandex, Baidu, DuckDuckGo, and Ecosia results in a single call
A weather-radar-style forecast map for lake and river water quality — Sentinel-2, key-free, with a grounded tool-calling assistant
Python SDK for the OpenSERP multi-engine SERP API - Google, Bing, Yandex, Baidu, DuckDuckGo, and Ecosia results in a single call
A static codebase analyzer and interactive learning workspace that maps repository architectures with Mermaid and generates source-linked technical tours. Built with Node.js and Express to help developers master unfamiliar codebases, trace dependencies, and practice interview walkthroughs.
Next-gen Cross-Modal Graph RAG engine bridging video keyframes, Whisper speech transcripts, architecture diagrams, and technical PDFs into an interconnected knowledge graph with pgvector and Gemini.
Evidence-backed commercial intelligence engine that turns construction project data into qualified, CRM-ready sales opportunities for Off Grid Innovation.
Data engineering for the creator economy: a three-tier local architecture fusing search intent (Demand) with validated supply metrics to ground generative AI in statistical proof.
RAG service with a policy engine that decides whether to answer, ask a clarifying question, or refuse before generation ever runs. Lexical retrieval, SQLite-backed chunk storage, page-level citations, and a mocked generation layer shaped for a drop-in real LLM call.
A multilingual concept graph with Euler diagrams and executable concept algebra for knowledge exploration, LLM training-data preparation, and evaluation.
n8n community node for OpenSERP. It supports web search, image search, URL extraction + Cloud account/pricing calls and engine capability/status calls.
CLI RAG system (with ChromaDB vector database) that consists of a relevance-gate guardrail against hallucination, grounded source-cited answers, and acceptance criteria validated through repeated, reproducible test runs for each of 5 success criteria rather than a single pass.
Verify LLM output against your source documents. Catch hallucinations in RAG pipelines and agentic workflows before they reach users.
Web Search API by Autom: One call, several search engines, first organic results. Python, TypeScript, cURL, PHP, C#, Go, Java, Ruby examples.
关于这个话题
- 清单取自 GitHub 话题页并按 Star 数排序,每次展示前 17 个项目;原始页面见 https://github.com/topics/llm-grounding。
- 该话题在 GitHub 上共有 17 个仓库, 本站收录的是其中最热门的 17 个,不是全量列表。
- Star / Fork 每日自动刷新一次,实时数据以 GitHub 为准。
- 当前 17 个项目累计 55 Star,覆盖 5 种主要语言,数据更新于 2026-11-07。
- 中文介绍来自 GitHub 官方话题说明(github/explore)的机器翻译,可点「查看原文」对照;译文缺失时会先展示原文。