RETA-LLM

RETA-LLM is a toolkit designed for retrieval-augmented large language models (LLMs). It focuses on enhancing LLM capabilities by integrating external knowledge retrieval, typically leveraging vector search and vector databases.

Features

• Toolkit for developing retrieval-augmented large language models (RAG)
• Integrates retrieval-based methods to supplement LLMs with external knowledge
• Utilizes vector search and vector databases for efficient retrieval
• Relevant for tasks in information retrieval and enhancing LLM performance

Pricing

No pricing information provided.

Category

• SDKs & Libraries

Tags

rag, llm, retrieval, vector-search