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telnyx-embeddings

Official

Embed text, search buckets, no API keys needed.

Software Engineering#semantic search#embeddings#ai#vector search#telnyx#data indexing
Authorteam-telnyx
Version1.0.0
Installs0

System Documentation

What problem does it solve?

This Skill allows you to convert text into high-dimensional vectors and perform semantic searches across your data without needing external API keys like OpenAI or Google.

Core Features & Use Cases

  • Text-to-Vector Embeddings: Generate embedding vectors for any text input using Telnyx's OpenAI-compatible AI API.
  • Semantic Search: Search your Telnyx Storage buckets using natural language queries.
  • Indexing: Upload files to Telnyx Storage and trigger embedding to make them searchable.
  • Use Case: You have a collection of documents in a Telnyx Storage bucket and want to find information using natural language questions, rather than keyword searches.

Quick Start

Generate an embedding vector for the text "Hello, world!".

Dependency Matrix

Required Modules

None required

Components

scriptsreferencesassets

💻 Claude Code Installation

Recommended: Let Claude install automatically. Simply copy and paste the text below to Claude Code.

Please help me install this Skill:
Name: telnyx-embeddings
Download link: https://github.com/team-telnyx/telnyx-toolkit/archive/main.zip#telnyx-embeddings

Please download this .zip file, extract it, and install it in the .claude/skills/ directory.
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