OpenAI · Vector databases

Shows how to store documents and embeddings in Chroma, query them by similarity with metadata filters, and persist them to disk for RAG and semantic search projects.

Orchestra-Research/AI-Research-SKILLs

Set up, index, and manage SocratiCode codebase indexing. An agent skill from giancarloerra/SocratiCode.

giancarloerra/SocratiCode

Explore and understand codebases using SocratiCode semantic search, dependency graphs, and context artifacts.

giancarloerra/SocratiCode

A skill your agent uses when you need documentation for a third-party library, SDK, or API before writing code that uses it — for example, "use the OpenAI API", "call the Stripe API", "use the…

sudomakes/backroad

Framework for building LLM-powered applications with agents, chains, and RAG.

Orchestra-Research/AI-Research-SKILLs

Walks through turning on semantic search in Open Second Brain: embedding key, sqlite-vec extension, first reindex and an optional periodic refresh, starting from o2b search check.

itechmeat/open-second-brain

Switches cognee's LLM, embedding, relational, vector and graph backends through environment variables, with the extras to install and the traps to avoid.

topoteretes/cognee

Designs retrieval-augmented generation systems: document chunking, embeddings, vector store setup, hybrid search, reranking and retrieval evaluation, with checks at each step.

Jeffallan/claude-skills

A skill your agent uses when building production LLM applications — designing RAG pipelines, choosing vector databases, implementing agent orchestration, optimizing cost, or adding AI safety…

kid-sid/claude-spellbook

Organizes research with the self-hosted Open Notebook alternative to NotebookLM.

K-Dense-AI/scientific-agent-skills

INVOKE THIS SKILL when building ANY retrieval-augmented generation (RAG) system.

langchain-ai/langchain-skills

Vector database implementation for AI/ML applications, semantic search, and RAG systems.

ancoleman/ai-design-components

A skill your agent uses when integrating LLMs, chat clients, embeddings, RAG pipelines, or AI agents into Spring Boot.

rrezartprebreza/spring-boot-skills

A skill your agent uses when integrating LLMs, chat clients, embeddings, RAG pipelines, or AI agents into Spring Boot.

rrezartprebreza/spring-boot-skills

Enable and configure Moltbot/Clawdbot memory search for persistent context.

sundial-org/awesome-openclaw-skills

Build and query vector stores with LangChain 1.0 without getting burned by flipped score semantics, embedding-dim mismatches, reranker quirks, and chunk-splitter bugs.

jeremylongshore/tons-of-skills-marketplace

A skill your agent uses when building or restructuring an LLM agent — provider adapter, tool calling, structured output, RAG, agent loop, eval gate, cost routing, tracing, MCP server —…

ericrisco/rsc-harness

Ultimate AI agent memory system for Cursor, Claude, ChatGPT & Copilot.

aAAaqwq/AGI-Super-Team