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Skills with input: vector database

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ai-engineer - AI Integration Specialist
LLM RAG AI integration prompt engineering
★ 18 · Updated 2026-05-09
Integrate LLM APIs, build RAG pipelines, control token costs, and prevent prompt injection attacks
⚙ select LLM model ⚙ build RAG pipeline ⚙ design prompt
Embedding Generator - Generate Text Embeddings for Semantic Search
embeddings vectors semantic-search NLP
★ 22 · Updated 2026-03-22
Create and manage text embeddings for semantic search, clustering, and similarity tasks
⚙ generate embeddings ⚙ select model ⚙ preprocess text
semantic-similarity - Semantic Similarity for Content Discovery
knowledge management semantic search embeddings content discovery
★ 5 · Updated 2026-03-21
Computes semantic relationships between content using embeddings and vector similarity
⚙ generate document embeddings ⚙ configure embedding models ⚙ implement vector similarity search
semantic-similarity - Semantic Similarity Computation
semantic similarity knowledge management vector database embedding models
★ 1,812 · Updated 2026-03-20
Compute semantic relationships between content using embedding models and vector similarity
⚙ generate document embeddings ⚙ configure embedding models ⚙ implement similarity search
rag-architect - RAG System Architecture Designer
RAG vector database semantic search retrieval
★ 2 · Updated 2026-03-10
Design RAG systems with vector databases and semantic search capabilities
⚙ design vector databases ⚙ select embedding models ⚙ implement chunking strategies
rag-implementation - RAG Implementation Workflow for Building AI Systems
rag vector-search llm ai-development
★ 2 · Updated 2026-03-09
Implement RAG systems with embedding selection, vector database setup, chunking strategies, and retrieval optimization
⚙ define use case ⚙ select embedding model ⚙ setup vector database