MCP servers and skills: search, filter by where they run, and compare.
Fusing scores from multiple searches into a single ranked result (RRF, DBSF, custom fusion). Use when someone asks 'RRF or DBSF?', 'how to combine sparse and dense', 'how to combine scores from multip
OfficialSkillApache-2.0★ 256 in collectionNo key
Diagnoses Qdrant search quality issues. Use when someone reports 'results are bad', 'wrong results', 'not relevant results', 'missing matches', 'recall is low', 'approximate search worse than exact',
OfficialSkillApache-2.0★ 256 in collectionNo key
Use when a task needs to search or add documents through NeMo Retriever MCP.
OfficialSkillApache-2.0★ 3.6k in collectionNo key
Text2Sql.Net 是一个使用DotNet和Semantic Kernel开发的Text2Sql工具
SkillApache-2.0★ 139No key
Diagnoses and improves Qdrant search relevance. Use when someone reports 'search results are bad', 'wrong results', 'low precision', 'low recall', 'irrelevant matches', 'missing expected results', or
OfficialSkillApache-2.0★ 256 in collectionNo key
Local-first memory backend for AI agents · 99.2% LongMemEval-S retrieval @ k=8 · Supports Claude · Antigravity · LangChain · Hermes · Gemini · OpenCode · OpenClaw · MCP-native and plugins · Hybrid sea
PythonApache-2.0★ 29No key
Self-hosted permission-aware context layer for agents. MCP + API.
Node.jsApache-2.0★ 1Few starsNeeds a key
Free web search, page reading, deep research and image generation for your coding agent - one binary, zero monthly bill.
SkillApache-2.0★ 9No key
Zero-auth, security-hardened cross-domain research MCP server: web, academic, GitHub, news, weather, macro/finance, SEC, biomedical, Bluesky, YouTube. SSRF and prompt-injection defenses.
PythonApache-2.0★ 11No key
Code-intelligence engine for AI coding agents — single Rust binary indexes any repo into a queryable graph over MCP, CLI, and JSON.
SkillApache-2.0★ 4Few starsNo key
Qt AI Chatbot for which supports MCP tool calls and RAG, written in C++ with Qt. Uses Ollama for the backend.
SkillApache-2.0★ 4Few starsNo key
emap/labs — infraestructura de inteligencia geográfica: datasets, evals y RAG geoespacial para Euskadi (ES/EU)
Hosted by authorApache-2.0Few starsNo key
Local-first MCP memory for AI agents — the searchable corpus (library). Pairs with mcp-memory-rs for curated state.
SkillApache-2.0★ 1Few starsNo key
Build production RAG pipelines and persistent agent memory using Pinecone as the vector database backend. ALWAYS USE THIS SKILL when the user mentions Pinecone, wants to index documents for semantic s
OfficialSkillApache-2.0★ 40k in collectionNo key
Open-source vector database and sub-microsecond key-value store in one Go engine — embed it as a library, run it standalone, or replicate it across a Raft cluster. HNSW/IVF/Vamana indexes, quantizatio
GoApache-2.0★ 36No key
Performance benchmarking for a deployed NVIDIA RAG Blueprint server: profiling pass + aiperf load test driven by a single YAML config. Not for accuracy / RAGAS scoring (use rag-eval) or for deploying
OfficialSkillApache-2.0★ 3.6k in collectionNo key
Manage and query Agent Platform RAG Engine Corpora and retrieve grounded contexts using the Google GenAI SDK. Use when listing RAG corpora or files, inspecting a corpus, retrieving contexts, or genera
OfficialSkillApache-2.0★ 21k in collectionNo key
Filesystem RAG benchmarks: corpus/, train.json, evaluate_rag.py (RAGAS quality). Not for prod monitoring, latency/throughput benchmarking (use rag-perf), or evals outside this repo layout.
OfficialSkillApache-2.0★ 3.6k in collectionNo key
Local-first persistent agentic memory powered by Recursive Memory Harness (RMH). Open source must win.
Node.jsApache-2.0★ 332No key
Your Cheat Sheet for AI Engineering Interview – Questions and Answers.
SkillApache-2.0★ 3.5kNo key
A bio-inspired cognitive memory engine — a new paradigm for Graph RAG.
PythonApache-2.0★ 4.5kNo key
Text-to-SQL access control: schema selection that gives the LLM only the tables the caller is allowed to read. Row-level-security-aware table pruning for LangChain, MCP and any SQL agent. Postgres, Or
PythonApache-2.0★ 104No key
A Retrieval-Augmented Generation (RAG) system that leverages Google's Agent Development Kit (ADK) and Qdrant vector database via MCP server.
SkillApache-2.0★ 24No key
Rust graph-vector database: OpenCypher (99.9% of evaluated TCK scenarios pass), vector search, graph algorithms, RESP + HTTP. LDBC SNB Interactive and BI complete; 1B edges on one machine.
SkillApache-2.0★ 184No key
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