From a8df35bee27930f69da786b8858ff410a926de25 Mon Sep 17 00:00:00 2001
From: Jack Colquitt <126733989+JackColquitt@users.noreply.github.com>
Date: Tue, 25 Mar 2025 13:51:28 -0700
Subject: [PATCH] Update README for 0.21.17 features

---
 README.md | 3 ++-
 1 file changed, 2 insertions(+), 1 deletion(-)

diff --git a/README.md b/README.md
index 89ef5037..9a4da3c8 100644
--- a/README.md
+++ b/README.md
@@ -34,8 +34,9 @@ Building enterprise AI applications is *hard*. You're not just connecting APIs w
 ## The Stack Layers
 
 - 📄 **Data Ingest**: Bulk ingest documents such as `.pdf`,`.txt`, and `.md`
+- 🧮 **OCR Pipelins**: OCR documents with PDF decode, Tesseract, or Mistral OCR services
 - 🪓 **Adjustable Chunking**: Choose your chunking algorithm and parameters
-- 🔁 **No-code LLM Integration**: **Anthropic**, **AWS Bedrock**, **AzureAI**, **AzureOpenAI**, **Cohere**, **Google AI Studio**, **Google VertexAI**, **Llamafiles**, **Ollama**, and **OpenAI**
+- 🔁 **No-code LLM Integration**: **Anthropic**, **AWS Bedrock**, **AzureAI**, **AzureOpenAI**, **Cohere**, **Google AI Studio**, **Google VertexAI**, **Llamafiles**, **Mistral**, **Ollama**, and **OpenAI**
 - 📖 **Automated Knowledge Graph Building**: No need for complex ontologies and manual graph building
 - 🔢 **Knowledge Graph to Vector Embeddings Mappings**: Connect knowledge graph enhanced data directly to vector embeddings
 - ❔**Natural Language Data Retrieval**: Automatically perform a semantic similiarity search and subgraph extraction for the context of LLM generative responses