telnyx-rag

Web & Frontend Development
v1.0.1
Pending

Semantic search and Q&A over workspace files using Telnyx Storage + AI embeddings.

647 downloads647 installsby @teamtelnyx

Setup & Installation

Install command

clawhub install teamtelnyx/telnyx-rag

If the CLI is not installed:

Install command

npx clawhub@latest install teamtelnyx/telnyx-rag

Or install with OpenClaw CLI:

Install command

openclaw skills install teamtelnyx/telnyx-rag

or paste the repo link into your assistant's chat

Install command

https://github.com/openclaw/skills/tree/main/skills/teamtelnyx/telnyx-rag

What This Skill Does

Indexes workspace files into Telnyx Storage with AI-generated embeddings, enabling semantic search and RAG-powered Q&A over memory, knowledge, and skills directories. Files are chunked by document type, synced incrementally, and retrieved with multi-signal reranking before LLM generation.

Uses Telnyx's native embedding, similarity search, and inference APIs in one pipeline, removing the need to wire together a separate vector database, embedding service, and LLM provider.

When to Use It

  • Asking questions about past meeting decisions stored in knowledge files
  • Searching personal notes and preferences by meaning, not keyword
  • Querying documentation for deployment or onboarding steps
  • Auto-syncing workspace memory on a cron schedule for always-current retrieval
  • Retrieving project history from indexed Slack message exports

Example Workflow

Here's how your AI assistant might use this skill in practice.

INPUT

User asks: Asking questions about past meeting decisions stored in knowledge files

AGENT
  1. 1Asking questions about past meeting decisions stored in knowledge files
  2. 2Searching personal notes and preferences by meaning, not keyword
  3. 3Querying documentation for deployment or onboarding steps
  4. 4Auto-syncing workspace memory on a cron schedule for always-current retrieval
  5. 5Retrieving project history from indexed Slack message exports
OUTPUT
Semantic search and Q&A over workspace files using Telnyx Storage + AI embeddings.

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Details

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Last updatedFeb 25, 2026