Skills tagged: semantic-search

• rag-implementation - Build Retrieval-Augmented Generation systems for LLMs.

  ragvector-databasesembeddingssemantic-search

  ★ 602 · Updated 2026-09-23

  Build Retrieval-Augmented Generation (RAG) systems for LLM applications with vector databases and semantic search.

  ⚙ Store document embeddings⚙ Retrieve document embeddings⚙ Convert text to numerical vectors
• felo-livedoc - Felo LiveDoc Knowledge Base Management

  knowledge-baselivedocsemantic-searchdocument-management

  ★ 246 · Updated 2026-09-23

  Manage Felo LiveDocs knowledge bases, handle resources, perform semantic retrieval, and manage READMEs or tasks.

  ⚙ Create and manage LiveDocs⚙ Upload documents and add URLs⚙ Perform semantic search and retrieval
• azure-search-documents-dotnet - Build search apps using Azure AI Search .NET SDK.

  azuredotnetsearchvector-search

  ★ 1 · Updated 2026-09-22

  Azure AI Search SDK for .NET supporting full-text, vector, semantic, and hybrid search operations.

  ⚙ Create and manage search indexes⚙ Upload, merge, and delete documents⚙ Perform full-text search queries
• AgentDB Vector Search - Semantic vector search with AgentDB

  vector-searchagentdbsemantic-searchrag

  ★ 2 · Updated 2026-09-20

  Implements vector-based semantic search using AgentDB for document retrieval, similarity matching, and context-aware querying.

  ⚙ Initialize vector database⚙ Query vector database⚙ Export vectors to JSON
• cx-conversation-embedding-pipeline - Design a support conversation vectorisation pipeline

  vector-searchsemantic-searchembedding-pipelinesupport-data

  ★ 1 · Updated 2026-09-18

  Designs a pipeline that vectorises support conversations for semantic search while managing chunking, PII redaction, and deletion.

  ⚙ Chunk conversations on turn boundaries⚙ Attach metadata filters to vectors⚙ Redact PII prior to embedding
• azure-search-documents-ts - Build search apps with Azure AI Search SDK for TypeScript

  azureazure-ai-searchtypescriptvector-search

  ★ 0 · Updated 2026-09-17

  Build search applications, manage indexes, and perform vector, hybrid, and semantic search using the @azure/search-documents package.

  ⚙ Create and update search indexes⚙ Upload and index documents⚙ Execute full-text search queries
• azure-search-documents-ts - Azure AI Search SDK for TypeScript

  azure-ai-searchtypescriptvector-searchhybrid-search

  ★ 0 · Updated 2026-09-17

  Build search applications using Azure AI Search SDK for TypeScript supporting vector, hybrid, and semantic search.

  ⚙ Create and update search indexes⚙ Upload and batch index documents⚙ Execute full text search queries
• azure-search-documents-ts - Azure AI Search SDK for TypeScript

  azure-searchtypescriptvector-searchhybrid-search

  ★ 0 · Updated 2026-09-17

  Build search applications with vector, hybrid, and semantic search capabilities.

  ⚙ Create search index⚙ Upload and index documents⚙ Perform full-text search
• open-targets-search - Search Open Targets drug-disease associations.

  open-targetsdrug-targetstarget-validationdisease-associations

  ★ 0 · Updated 2026-09-15

  Searches Open Targets drug-disease associations and target validation data using natural language queries.

  ⚙ Search Open Targets database⚙ Validate drug targets for diseases⚙ Search drug repurposing opportunities
• BrainX V6 - Persistent vector memory engine for OpenClaw agents.

  vector-memorypostgresqlpgvectoropenai

  ★ 32 · Updated 2026-09-13

  BrainX V6 provides persistent vector memory, semantic search, and context management using PostgreSQL, pgvector, and OpenAI embeddings.

  ⚙ Store durable memories⚙ Search vector memories⚙ Inject memory context
• similarity-search-patterns - Patterns for implementing efficient similarity search.

  similarity-searchvector-databasesemantic-searchrag

  ★ 509 · Updated 2026-09-10

  Implement efficient similarity search with vector databases, semantic search, nearest neighbor queries, and optimized retrieval performance.

  ⚙ Build semantic search systems⚙ Implement RAG retrieval⚙ Create recommendation engines
• exa-search - Semantic search and content discovery using Exa API.

  semantic-searchexa-apicontent-discoveryresearch

  ★ 0 · Updated 2026-09-09

  Provides semantic search, similar content discovery, and structured research using the Exa API.

  ⚙ Perform semantic search⚙ Find similar content⚙ Search by category
• repo-rag - Codebase retrieval using semantic search and symbols

  codebase-searchsemantic-searchsymbol-indexingrag

  ★ 18 · Updated 2026-09-09

  Perform high-recall codebase retrieval using semantic search and symbol indexing to find code, understand structure, and verify architectural patterns.

  ⚙ Retrieve codebase with semantic search⚙ Find classes functions and types⚙ Analyze and understand project structure
• rag-architect - Architect for RAG, vector search, and retrieval systems

  ragvector-databasesemantic-searchembeddings

  ★ 602 · Updated 2026-09-09

  Designs production-grade RAG systems, vector database schemas, document chunking, hybrid search pipelines, and retrieval evaluation frameworks.

  ⚙ Design vector database schemas⚙ Design document chunking strategies⚙ Implement hybrid search pipelines
• cohere-api - Enterprise NLP API for embeddings and RAG

  cohereembeddingsrerankrag

  ★ 0 · Updated 2026-05-11

  Access Cohere models for embeddings, reranking, RAG, and text generation via API

  ⚙ Generate text with models⚙ Create document embeddings⚙ Create query embeddings
• mcp-generator - Generate custom MCP servers for projects

  MCPservercode-generationsemantic-search

  ★ 18 · Updated 2026-05-11

  Generate custom MCP server with project-aware tools, semantic search, and health monitoring

  ⚙ generate MCP server⚙ analyze project⚙ detect tech stack
• Embedding Generator - Generate text embeddings for semantic search

  embeddingsvectorssemantic-searchNLP

  ★ 9 · Updated 2026-03-22

  Generate and manage text embeddings for semantic search, clustering, and similarity tasks

  ⚙ Generate embeddings⚙ Select embedding model⚙ Preprocess text
• Embedding Generator - Generate Text Embeddings for Semantic Search

  embeddingsvectorssemantic-searchNLP

  ★ 18 · Updated 2026-03-22

  Create and manage text embeddings for semantic search, clustering, and similarity tasks

  ⚙ generate embeddings⚙ select model⚙ preprocess text
• sgrep - Semantic Code Search with sgrep

  code-searchsemantic-searchdevelopmentprogramming

  ★ 42 · Updated 2026-03-09

  Search code semantically using natural language queries to find code by meaning

  ⚙ search code with natural language⚙ filter by programming language⚙ limit search results
• vector-databases - Vector Databases for Embedding Storage and Semantic Search

  vector-databaseembeddingsemantic-searchrag

  ★ 7 · Updated 2026-02-15

  Store and search embeddings for RAG, semantic search, and similarity applications.

  ⚙ store embeddings⚙ search embeddings⚙ compare vector database options

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