Merge pull request #113 from sensein/tekrajchhetri-patch-3

Updated readme to include architecture diagram

Author: tekrajchhetri

README.md

@@ -2,14 +2,28 @@
 
 `structsense` is a multi-agent system for extracting structured information from unstructured text and documents. It orchestrates a configurable pipeline of AI agents — extractor → alignment → judge → human feedback — each driven by a single YAML config file.
 
-**Documentation:** [docs.brainkb.org](http://docs.brainkb.org/structsense_overview.html)
 **License:** [Apache 2.0](LICENSE.txt)
 
+If you find this work useful or build upon it, please consider citing:
+
+```bibtex
+@misc{chhetri2025structsensetaskagnosticagenticframework,
+  title        = {STRUCTSENSE: A Task-Agnostic Agentic Framework for Structured Information Extraction with Human-In-The-Loop Evaluation and Benchmarking},
+  author       = {Tek Raj Chhetri and Yibei Chen and Puja Trivedi and Dorota Jarecka and Saif Haobsh and Patrick Ray and Lydia Ng and Satrajit S. Ghosh},
+  year         = {2025},
+  eprint       = {2507.03674},
+  archivePrefix= {arXiv},
+  primaryClass = {cs.CL},
+  url          = {https://arxiv.org/abs/2507.03674}
+}
+```
+
 ---
 
 ## Table of Contents
 
 - [Features](#features)
+- [Architecture](#architecture)
 - [Installation](#installation)
 - [Quick Start](#quick-start)
 - [Usage](#usage)
@@ -46,6 +60,18 @@
 
 ---
 
+## Architecture
+
+The figure below illustrates the overall architecture of **StructSense**.
+
+
+<img width="2571" height="823" alt="with_arch_search-with_search_api drawio (1)" src="https://github.com/user-attachments/assets/8f652c10-4301-4193-b1c8-f750229f972c" />
+
+StructSense integrates a local concept mapping service, which can also be used independently. The service is available here:  
+- https://github.com/sensein/search_hybrid
+
+---
+
 ## Installation
 
 ```bash
@@ -464,7 +490,7 @@ By default (`skip_alignment_llm=None`), the alignment LLM is **automatically byp
 - `CONCEPT_MAPPING_BACKEND=local` (which is the default)
 - Task type is `ner`, `keyphrase_extraction`, `resource`, or `structured_extraction`
 
-When bypassed, the concept mapping tool is called directly from Python in one batch (4000 concept/request--see [https://github.com/sensein/search_hybrid/tree/dev](https://github.com/sensein/search_hybrid/tree/dev)) — much
+When bypassed, the concept mapping tool is called directly from Python in one batch (4000 concept/request--see [https://github.com/sensein/search_hybrid](https://github.com/sensein/search_hybrid)) — much
 faster than running the LLM. The output records `alignment_method: "direct_tool_call"`.
 
 ```bash