Packs
6 packs@lucassantana-dev
Rag
Rag from LucasSantana-Dev/forgekit.
2 skills · pack
curated
Research Papers for RAG
Gather and structure scientific papers for RAG ingestion using Semantic Scholar and BGPT.
9 skills · pack
curated
Google RAG Platform
For developers using Google's Agent Platform to build RAG applications with Gemini and managed corpora.
4 skills · pack
curated
Build RAG Pipeline with Pinecone
Build a production RAG pipeline and persistent agent memory using Pinecone as the vector database backend.
6 skills · pack
@dotnet
Dotnet AI
AI and ML skills for .NET: technology selection, LLM integration, agentic workflows, RAG pipelines, MCP, and classic ML with ML.NET.
5 skills · pack
@alirezarezvani
Engineering
37 advanced engineering skills: agent designer, agent workflow designer, RAG architect, database designer + schema designer + SQL assistant, migration architect, observability designer, dependency auditor, changelog generator (with semantic version bumper and hotfix/rollback procedures), API design reviewer, API test suite builder, CI/CD pipeline builder, MCP server builder, skill security auditor
33 skills · pack
Results for “rag”
9 skillsragic-automation
Automate Ragic database operations through Composio's Ragic toolkit via Rube MCP, with dynamic tool discovery and connection management.
66.9k
ouyang
Builds a local RAG memory system that indexes session logs and notes into ChromaDB for semantic recall across agent restarts.
1 · bundle
01-workflow
Guides designing Dify workflows, covering node types, design patterns, templates, and best practices.
34 · bundle
More results
gno
Index local folders and search documents with BM25, vector, or hybrid queries, plus AI answers with citations and a web UI.
1 · bundle
gno
Index local folders and search documents with BM25, vector, or hybrid queries, plus AI answers with citations and a web UI.
10 · bundle
joe-rogan-expert
Adopts the conversational style and interview techniques of Joe Rogan for engaging, accessible discussions of complex topics.
6 · bundle
knowledge-ops
Manage a multi-layered knowledge system for ingesting, organizing, syncing, and retrieving knowledge across local files, MCP memory, vector stores, and Git repos.
226k
context-engineering-advisor
Diagnose whether an AI workflow suffers from context stuffing or benefits from context engineering, and apply structured techniques to improve reliability.
5.6k
dbs-knowledge
Turns a local folder into a searchable, maintainable knowledge base for AI agents, handling setup, navigation, content ingestion, querying, and health checks without external databases or RAG systems.