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Chat Format

Skill Verifiziert Aktiv
Teil von:Ruflo Ruvllm

Format prompts for different LLM providers with chat templates and HNSW-powered context retrieval

Zweck

To standardize prompt formatting across different LLM providers and enable efficient context retrieval for RAG applications.

Funktionen

  • Format prompts for multiple LLM providers
  • Support for Anthropic, OpenAI, Gemini, and Ollama formats
  • Integrate HNSW for context retrieval
  • Create, add to, and route queries through HNSW indexes
  • Check provider status

Anwendungsfälle

  • Preparing prompts for different LLM APIs.
  • Building RAG pipelines with vector-based context retrieval.
  • Ensuring consistent prompt structure across diverse LLM backends.

Nicht-Ziele

  • General-purpose LLM inference outside of prompt formatting.
  • Managing LLM provider API keys or authentication.
  • Complex RAG pipeline orchestration beyond context retrieval.

Workflow

  1. Format chat messages for a target LLM provider.
  2. Create an HNSW index for context retrieval.
  3. Add documents to the HNSW index.
  4. Route a query to find relevant context using the HNSW index.
  5. Check the status of supported LLM providers.

Praktiken

  • Prompt engineering
  • LLM integration
  • Vector databases
  • Information retrieval

Installation

Zuerst Marketplace hinzufügen

/plugin marketplace add ruvnet/ruflo
/plugin install ruflo-ruvllm@ruflo

Qualitätspunktzahl

Verifiziert
100 /100
Analysiert about 22 hours ago

Vertrauenssignale

Letzter Commit1 day ago
Sterne50.2k
LizenzMIT
Status
Quellcode ansehen

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