Rag skills

Pinecone RAG

github

Build RAG pipelines with Pinecone as your vector database.

RAG-Perf

nvidia

Benchmark performance of NVIDIA RAG Blueprint servers.

N

NVIDIA RAG Blueprint

nvidia

Manage and deploy RAG services with ease.

RAG Evaluation

nvidia

Evaluate retrieval-augmented generation benchmarks efficiently.

LlamaIndex

davila7

Connect LLMs to your data with ease.

LangChain

davila7

Build LLM-powered applications with ease.

Chroma

nousresearch

Open-source embedding database for LLM applications.

A

AI Engineering Toolkit

sickn33

Transform your AI coding assistant into a senior engineering partner.

AI/ML Workflow Bundle

sickn33

Streamline your AI and ML development process.

Embedding Strategies

wshobson

Optimize embedding models for effective semantic search.

OpenViking Memory Installation

volcengine

Seamlessly set up long-term memory for OpenClaw.

RAG Enterprise Search

google

Design and deploy RAG solutions on Google Cloud.

Pinecone Research

nousresearch

Enhance agent conversations with long-term memory.

C

Chunking

xberg-io

Efficiently split text for LLMs and RAG ingestion.

L

LLM Operations

davila7

Streamline your LLM workflows with advanced techniques.

Pinecone

davila7

Managed vector database for AI applications.

Build Retrieval-Augmented Generation (RAG) systems for LLM applications with vector databases and semantic search. Use when implementing knowledge-grounded AI, building document Q&A systems, or integrating LLMs with external knowledge bases.

High-performance vector similarity search engine for RAG and semantic search. Use when building production RAG systems requiring fast nearest neighbor search, hybrid search with filtering, or scalable vector storage with Rust-powered performance.