mirror of
https://github.com/meta-llama/llama-stack.git
synced 2025-12-18 01:09:47 +00:00
35a0a6cb7b
Implement OpenGauss vector database integration for Llama Stack with the following features: - Add OpenGaussVectorIOAdapter for vector storage and retrieval - Support native vector similarity search operations - Provide configuration template for easy setup - Add comprehensive unit tests - Align with the latest Llama Stack provider architecture, including KVStore and OpenAI Vector Store Mixin. The implementation allows Llama Stack users to leverage OpenGauss as an enterprise-grade vector database for RAG applications.
41 lines
907 B
Markdown
41 lines
907 B
Markdown
# Inference
|
|
|
|
## Overview
|
|
|
|
Llama Stack Inference API for generating completions, chat completions, and embeddings.
|
|
|
|
This API provides the raw interface to the underlying models. Two kinds of models are supported:
|
|
- LLM models: these models generate "raw" and "chat" (conversational) completions.
|
|
- Embedding models: these models generate embeddings to be used for semantic search.
|
|
|
|
This section contains documentation for all available providers for the **inference** API.
|
|
|
|
## Providers
|
|
|
|
```{toctree}
|
|
:maxdepth: 1
|
|
|
|
inline_meta-reference
|
|
inline_sentence-transformers
|
|
remote_anthropic
|
|
remote_bedrock
|
|
remote_cerebras
|
|
remote_databricks
|
|
remote_fireworks
|
|
remote_gemini
|
|
remote_groq
|
|
remote_hf_endpoint
|
|
remote_hf_serverless
|
|
remote_llama-openai-compat
|
|
remote_nvidia
|
|
remote_ollama
|
|
remote_openai
|
|
remote_passthrough
|
|
remote_runpod
|
|
remote_sambanova
|
|
remote_tgi
|
|
remote_together
|
|
remote_vertexai
|
|
remote_vllm
|
|
remote_watsonx
|
|
```
|