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RAG & Vector Search Kit

Build retrieval-augmented generation systems end to end — ingest data with LlamaIndex and LangChain, pick the right embeddings, store and query vectors in Qdrant, and trace quality with Langfuse

8 skills · Works with Claude Code, Codex, Cursor & more

⚙️ Engineering
RARE ★

LlamaIndex RAG Framework

Build data-centric RAG apps with LlamaIndex. Wires up document ingestion across 300+ connectors, vector and hybrid indices, query engines, and agents with multi-modal support for document Q&A and knowledge retrieval.

Community 4.1K
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mkdir -p ~/.claude/skills/llamaindex && curl -fsSL https://raw.githubusercontent.com/diegosouzapw/awesome-omni-skill/HEAD/skills/ai-agents/llamaindex/SKILL.md -o ~/.claude/skills/llamaindex/SKILL.md
⚙️ Engineering
RARE ★

LangChain RAG Builder

Build Retrieval-Augmented Generation (RAG) systems using LangChain. Creates document loaders, vector store configurations, retrieval chains, and conversational agents with proper chunking and embedding strategies.

LangChain 6.2K
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mkdir -p ~/.claude/skills/langchain-rag && curl -fsSL https://raw.githubusercontent.com/Jeffallan/claude-skills/HEAD/skills/rag-architect/SKILL.md -o ~/.claude/skills/langchain-rag/SKILL.md
⚙️ Engineering
RARE

Embedding Strategies

Choose and optimize embedding models for semantic search and RAG. Compares model trade-offs, designs chunking strategies, handles domain adaptation, and tunes embedding quality to improve retrieval accuracy.

Community 2.9K
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mkdir -p ~/.claude/skills/embedding-strategies && curl -fsSL https://raw.githubusercontent.com/diegosouzapw/awesome-omni-skill/HEAD/skills/ai-agents/embedding-strategies/SKILL.md -o ~/.claude/skills/embedding-strategies/SKILL.md
⚙️ Engineering
RARE

Qdrant Vector Memory

Use Qdrant for vector search, semantic caching, and long-term agent memory. Builds collections with metadata filtering, hybrid search, and semantic caches that cut LLM calls and shrink context windows.

Community 2.7K
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mkdir -p ~/.claude/skills/qdrant-memory && curl -fsSL https://raw.githubusercontent.com/diegosouzapw/awesome-omni-skill/HEAD/skills/ai-agents/qdrant-memory/SKILL.md -o ~/.claude/skills/qdrant-memory/SKILL.md
⚙️ Engineering
RARE

Weaviate Vector Database

Deploy and operate Weaviate clusters for vector and hybrid search. Spin up local Kubernetes clusters with the right version, replicas, modules, and auth for RAG development, testing, bug repro, and CI/CD.

Weaviate 2.9K
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mkdir -p ~/.claude/skills/weaviate-vector-db && curl -fsSL https://raw.githubusercontent.com/diegosouzapw/awesome-omni-skill/HEAD/skills/devops/operating-weaviate-local-k8s/SKILL.md -o ~/.claude/skills/weaviate-vector-db/SKILL.md
⚙️ Engineering
COMMON

AgentDB Vector Search

Implement semantic vector search with AgentDB for intelligent document retrieval, similarity matching, and context-aware querying. Wire it into RAG systems, semantic search engines, and knowledge bases.

Community 900
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mkdir -p ~/.claude/skills/agentdb-vector-search && curl -fsSL https://raw.githubusercontent.com/diegosouzapw/awesome-omni-skill/HEAD/skills/ai-agents/agentdb-vector-search/SKILL.md -o ~/.claude/skills/agentdb-vector-search/SKILL.md
⚙️ Engineering
RARE

Google ADK RAG Agent

Build RAG agents with Google ADK and Vertex AI RAG Engine. Sets up corpora, the VertexAiRagRetrieval tool, and citation-backed responses for document Q&A on Google Cloud.

Community 1.4K
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mkdir -p ~/.claude/skills/adk-rag-agent && curl -fsSL https://raw.githubusercontent.com/diegosouzapw/awesome-omni-skill/HEAD/skills/ai-agents/adk-rag-agent/SKILL.md -o ~/.claude/skills/adk-rag-agent/SKILL.md
⚙️ Engineering
RARE

Langfuse LLM Observability

Instrument LLM apps with Langfuse for tracing, prompt management, evaluation, and datasets. Captures nested traces across LangChain, LlamaIndex, and OpenAI calls to debug latency, cost, and quality in production.

Community 2.4K
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mkdir -p ~/.claude/skills/langfuse && curl -fsSL https://raw.githubusercontent.com/diegosouzapw/awesome-omni-skill/HEAD/skills/ai-agents/langfuse/SKILL.md -o ~/.claude/skills/langfuse/SKILL.md

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