Results for “semantic-search”
19 skills
antigravity vexor
Enables semantic file search using vector embeddings from the command line, integrated with Claude/Codex.
42.4k
microsoft azure-search-documents-ts
Build search applications with vector, hybrid, and semantic search using the Azure AI Search SDK for TypeScript.
2.7k · bundle
microsoft azure-search-documents-dotnet
Build search applications with full-text, vector, semantic, and hybrid search using the Azure AI Search SDK for .NET.
2.7k · bundle
microsoft azure-search-documents-py
Search Azure AI Search indexes using the Python SDK for full-text, vector, hybrid, and semantic search with AI enrichment.
2.7k · bundle
lord1egypt qdrant-vector-search
Builds production RAG and semantic search systems with Qdrant, covering collection setup, vector indexing, filtered and hybrid search, and integration with LangChain and LlamaIndex.
2
orchestra-research qdrant-vector-search
Build production RAG and semantic search systems with a high-performance vector database written in Rust, supporting hybrid search, filtering, and horizontal scaling.
10.4k · bundle
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orchestra-research pinecone
Provides code examples and best practices for using Pinecone, a managed vector database for production RAG, recommendation, and semantic search applications.
10.4k · bundle
nvidia nemo-retriever
Index folders of PDFs and other documents into LanceDB for vector search, then query them with semantic search, page filters, verbatim quotes, and cross-document aggregation.
2.2k · bundle
lord1egypt chroma
Store and query embeddings with metadata, vector and full-text search, and filtering. Integrates with LangChain and LlamaIndex for RAG and semantic search applications.
2
composiohq semrush-automation
Run SEMrush SEO analytics directly from Claude Code to research keywords, analyze domain organic rankings, audit backlinks, assess keyword difficulty, and discover related terms.
66.9k
demerzels-lab gno
Index local folders and search documents with BM25, vector, or hybrid queries, plus AI answers with citations and a web UI.
10 · bundle
orchestra-research sentence-transformers
Generate high-quality sentence and text embeddings for semantic similarity, clustering, and retrieval using 5000+ pre-trained models. Supports multilingual and domain-specific embeddings for RAG and semantic search.
10.4k · bundle
antigravity weaviate
Search, query, inspect, create, and import data into Weaviate vector database collections using official scripts and references.
42.4k · bundle
johnalbertini14-glitch gno
Index local folders and search documents with BM25, vector, or hybrid queries, plus AI answers with citations and a web UI.
1 · bundle
github pinecone-rag
Build production RAG pipelines and persistent agent memory using Pinecone as the vector database backend.
36.2k
orchestra-research chroma
Store and query embeddings with metadata filtering, vector search, and full-text search using an open-source database that scales from notebooks to production.
10.4k · bundle
antigravity mesh-memory
Provides persistent, self-hosted semantic memory for AI agents via MCP, storing worklogs, decisions, and notes in PostgreSQL with pgvector for meaning-based retrieval across sessions.
42.4k
antigravity arrowspace
Augments nearest-neighbour search with graph Laplacian features to retrieve items based on both semantic similarity and structural role.
42.4k
jrennie99-glitch embeddings
Vector embeddings with HNSW indexing, sql.js persistence, and hyperbolic support. 75x faster with agentic-flow integration. Use when: semantic search, pattern matching, similarity queries, knowledge retrieval. Skip when: exact text matching, simple lookups, no semantic understanding needed.
0