From 28c2815ac3af6b560d991efc04da92d4c272013c Mon Sep 17 00:00:00 2001 From: JackColquitt Date: Mon, 16 Sep 2024 17:53:47 -0700 Subject: [PATCH] Fixed readme typos --- README.md | 4 ++-- 1 file changed, 2 insertions(+), 2 deletions(-) diff --git a/README.md b/README.md index 87ab7355..385563ba 100644 --- a/README.md +++ b/README.md @@ -9,7 +9,7 @@ ## Introduction -TrustGraph deploys a full E2E (end-to-end) AI solution with native GraphRAG in minutes. TrustGraph is designed for maximimum flexibility and modularity whether it's calling Cloud LLMs or deploying SLMs On-Device. TrustGraph ingests data to build a RDF style knowledge graph to enable accurate and private `RAG` responses using only the knowledge you want, when you want. +TrustGraph deploys a full E2E (end-to-end) AI solution with native GraphRAG in minutes. TrustGraph is designed for maximum flexibility and modularity whether it's calling Cloud LLMs or deploying SLMs On-Device. TrustGraph ingests data to build a RDF style knowledge graph to enable accurate and private `RAG` responses using only the knowledge you want, when you want. The pipeline processing components are interconnected with a pub/sub engine to maximize modularity for agent integration. The core processing components decode documents, chunk text, perform embeddings, apply an On-Device SLM/LLM, call a LLM API, and generate LM predictions. @@ -72,7 +72,7 @@ The entire architecture, the pub/sub backbone and set of modules, is bundled int - `text-completion-bedrock` - Send request to AWS Bedrock API - `text-completion-claude` - Sends request to Anthropic's API - `text-completion-cohere` - Send request to Cohere's API -- `text-completion-llamafile` - Sends request On-Device Llamafile +- `text-completion-llamafile` - Sends request to On-Device Llamafile - `text-completion-ollama` - Sends request to On-Device LM running using Ollama - `text-completion-openai` - Sends request to OpenAI's API - `text-completion-vertexai` - Sends request to model available through VertexAI API