lastmile-ai/mcp-agentjust droppedNEW
dottxt-ai/outlinesjust droppedNEW
getomni-ai/zeroxjust droppedPIPETrendingRepoLIVE · 30 mention sourcesNEWlastmile-ai/mcp-agentjust droppedNEWdottxt-ai/outlinesjust droppedNEWgetomni-ai/zeroxjust droppedPIPETrendingRepoLIVE · 30 mention sourcesSemantic search finds results by meaning rather than exact keywords, comparing embeddings of the query and documents to surface conceptually similar matches.
Instead of matching literal words, semantic search embeds the query and the corpus into vectors and returns the nearest neighbours. That handles synonyms and paraphrase, and is the retrieval step behind most RAG systems.
In practice it is often combined with traditional keyword search — a hybrid approach — to get both conceptual recall and exact-term precision. Open-source vector databases provide the index that makes it fast.
Open-source LLM knowledge platform: turn raw documents into a queryable RAG, an autonomous reasoning agent, and a self-maintaining Wiki.
Incremental engine for long horizon agents 🌟 Star if you like it!
Qdrant - High-performance, massive-scale Vector Database and Vector Search Engine for the next generation of AI. Also available in the cloud https://cloud.qdrant.io/
Open-source GEO content engineering and multi-site distribution system with AI tasks, RAG/semantic chunking, analytics, GEOFlow Agent and WordPress target publishing.
HelixDB is an open-source graph-vector database built from scratch in Rust.
🔥 Search, scrape, and clean the web for AI agents.
ARIS ⚔️ (Auto-Research-In-Sleep) — Lightweight Markdown-only skills for autonomous ML research: cross-model review loops, idea discovery, and experiment automation. No framework, no lock-in — works with Claude Code, Codex, OpenClaw, or any LLM agent.