Skills tagged "embeddings"

solr-parent-chunk-model - Solr Parent/Chunk Architecture and Hybrid Search Model
search solr data-model hybrid-search
★ 1 · Updated 2026-09-21
Provides architecture guidelines, filter rules, field mappings, and RRF hybrid search patterns for Solr parent and chunk documents.
⚙ Configure Solr parent chunk schema ⚙ Implement BM25 kNN RRF hybrid search ⚙ Apply search query filter rules
tool-search - Semantic Tool Search with Embeddings
tool-search embeddings context-optimization mcp
★ 1 · Updated 2026-09-20
Provides semantic tool discovery using embeddings to load tools on demand and optimize context usage.
⚙ Search tools using embeddings ⚙ Load matching tools on demand ⚙ Expand tool definitions dynamically
AgentDB Vector Search - Semantic vector search with AgentDB
vector-search agentdb semantic-search rag
★ 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
rag-expert - Retrieval-Augmented Generation Patterns on OCI
rag oci oracle-cloud vector-search
★ 0 · Updated 2026-09-16
Provides architecture patterns, model selection, vector store options, and retrieval optimization guidance for RAG on Oracle Cloud Infrastructure.
⚙ Design RAG architectures on OCI ⚙ Select embedding models and vector stores ⚙ Optimize retrieval and hybrid search
rag-expert - RAG Expert for Oracle Cloud Infrastructure
rag oci oracle-cloud vector-search
★ 1 · Updated 2026-09-16
Provides patterns and guidance for building production RAG systems on Oracle Cloud Infrastructure.
⚙ Design enterprise RAG architectures ⚙ Select embedding models and vector stores ⚙ Optimize retrieval quality
oo-jina-ai - Jina AI
jina-ai embeddings rerank oomol
★ 2 · Updated 2026-09-12
Operate Jina AI to create vector embeddings and rerank documents using the oo CLI.
⚙ Create vector embeddings ⚙ Rank documents by query relevance ⚙ Inspect connector action schemas
rag-systems - Build Retrieval-Augmented Generation systems and pipelines.
rag retrieval-augmented-generation vector-search bm25
★ 4 · Updated 2026-09-09
Covers chunking strategies, embeddings, vector search, hybrid retrieval, reranking, query expansion, and evaluation for RAG pipelines.
⚙ Implement fixed and semantic chunking ⚙ Perform BM25 term retrieval ⚙ Execute embedding based vector search
rag-architect - Architect for RAG, vector search, and retrieval systems
rag vector-database semantic-search embeddings
★ 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
embedding-analysis - Dataset Embedding Analysis
embeddings data-quality dataset-curation deduplication
★ 308 · Updated 2026-06-30
Compute and analyze embeddings for dataset quality, distribution comparison, deduplication, and diversity measurement
⚙ generate embeddings ⚙ semantic deduplication ⚙ compare distributions
pinecone - Pinecone vector database for semantic search
vector database similarity search RAG embeddings
★ 4 · Updated 2026-06-15
Store embeddings and query by semantic meaning for RAG and similarity search
⚙ create index ⚙ list indexes ⚙ delete index
stacks-ai - Stacks AI Integration Framework
ai llm anthropic openai
★ 2 · Updated 2026-05-28
Integrate AI capabilities into Stacks applications with multiple provider drivers
⚙ chat ⚙ generate text ⚙ generate image
stacks-ai - Stacks AI Integration
AI LLM RAG vector search
★ 1 · Updated 2026-05-28
AI/LLM integration with multiple providers, RAG, image generation, and personalization features
⚙ configure ⚙ chat ⚙ stream
stacks-ai - Integrate AI into Stacks applications
AI LLM RAG image generation
★ 620 · Updated 2026-05-28
Integrate AI capabilities into Stacks apps with multiple drivers, image generation, RAG, embeddings, and personalization features
⚙ configure driver ⚙ send chat message ⚙ stream chat response
AgentDB Vector Search - AgentDB Semantic Vector Search
vector search vector database semantic search embeddings
★ 18 · Updated 2026-05-11
Implement semantic vector search with AgentDB for document retrieval and similarity matching
⚙ Store vectors ⚙ Search similar vectors ⚙ Export vectors
cohere-api - Enterprise NLP API for embeddings and RAG
cohere embeddings rerank rag
★ 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
AgentDB Vector Search - Semantic Vector Search with AgentDB
vector database semantic search RAG embeddings
★ 602 · Updated 2026-05-11
Implements vector-based semantic search using AgentDB for document retrieval and similarity matching
⚙ Initialize vector database ⚙ Store document vectors ⚙ Query vector similarity
ai-engineer - Build Production-Ready LLM Applications
llm rag agents ai
★ 11 · Updated 2026-05-09
Build production-ready LLM applications, advanced RAG systems, and intelligent agents
⚙ Build LLM applications ⚙ Implement RAG systems ⚙ Deploy AI agents
grepai-watch-daemon - Real-time Code Indexing Daemon
code indexing file monitoring daemon embeddings
★ 0 · Updated 2026-03-26
Configure and manage watch daemon for real-time code indexing and file monitoring
⚙ scan source files ⚙ chunk code segments ⚙ generate embeddings
grepai-watch-daemon - GrepAI Watch Daemon Manager
code indexing file monitoring daemon embeddings
★ 15 · Updated 2026-03-26
Configure and manage GrepAI watch daemon for real-time code indexing and file monitoring
⚙ start daemon in foreground ⚙ start daemon in background ⚙ check daemon status
tos-vectors - Manage vector storage and similarity search
vector database similarity search RAG embeddings
★ 0 · Updated 2026-03-24
Manage vector storage, indexing, and similarity search using TOS Vectors service
⚙ create vector bucket ⚙ list vector buckets ⚙ delete vector bucket

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