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rag-auto-lookup

Query the local RAG service on port 8001 for relevant context before each reply.

Updated Apr 19, 2026
Search Tags:#context#api#rag#memory#fallback#retrieval-augmented-generation#chromadb
One-click install
npx skills add https://github.com/crycriM/hermes-skills --skill rag-auto-lookup
Or copy as Structured Prompt for Agent▼
Please help me install this Agent Skill.
Skill: rag-auto-lookup
Source: https://github.com/crycriM/hermes-skills/tree/main/memory/rag-auto-lookup
Command: npx skills add https://github.com/crycriM/hermes-skills --skill rag-auto-lookup

SYSTEM DOCUMENTATION & REQUIREMENTS

What problem does it solve?

Automatically inject relevant context from a local RAG store into responses by querying the RAG service on each user message.

Core Features & Use Cases

  • Always query the local RAG service (ChromaDB on port 8001) to fetch the most relevant vault context prior to composing a reply.
  • Distance-filtered results: use entries with distance <= 1.2 to improve accuracy; gracefully ignore others.
  • Robust fallback: if the RAG service is unavailable, continue responding without external context and log the incident for later reindex.
  • Use cases include live support conversations, knowledge retrieval, and multi-topic chats requiring cross-vault context.

Quick Start

Enable the RAG auto-lookup to query the local ChromaDB service on port 8001 for relevant vault context before composing each response.

Frequently Asked Questions about rag-auto-lookup

High-intent search queries and answers about installing and using this skill.

FAQPage Schema
How do I automatically retrieve context from ChromaDB before an AI responds?▼

To automatically retrieve context from ChromaDB before responding, enable a RAG auto-lookup Skill that queries your local service on port 8001. This fetches the most relevant vault context prior to composing each reply, ensuring responses are grounded in your stored memory.

What happens to my conversation if the local RAG service is unavailable?▼

If the local RAG service is unavailable, the conversation continues responding without external context. The system gracefully handles service downtime by logging the incident for later reindex, ensuring your chat experience remains uninterrupted.

How does distance threshold filtering work for retrieval-augmented generation memory?▼

Distance threshold filtering for retrieval-augmented generation memory works by selecting only results with a distance of 1.2 or less from the query. This improves accuracy by gracefully ignoring less relevant entries retrieved from the ChromaDB vector store.

Can I use RAG auto-lookup for live support and multi-topic conversations?▼

Yes, you can use RAG auto-lookup for live support and multi-topic conversations. It queries the local RAG service on every user message to retrieve relevant context from memory, ensuring cross-vault context is considered for each reply.

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