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### Added
+- Added introduction section - What is stac-fastapi-elasticsearch-opensearch? - to README [#384](https://github.com/stac-utils/stac-fastapi-elasticsearch-opensearch/pull/384)
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### Changed
- Improved README documentation with consistent formatting and enhanced sections [#381](https://github.com/stac-utils/stac-fastapi-elasticsearch-opensearch/pull/381):
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-Elasticsearch and Opensearch backends for the stac-fastapi project.
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+**Jump to:** [Project Introduction](#project-introduction---what-is-sfeos) | [Quick Start](#quick-start) | [Table of Contents](#table-of-contents)
[](https://pepy.tech/project/stac-fastapi-core)
[](https://github.com/stac-utils/stac-fastapi-elasticsearch-opensearch/graphs/contributors)
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[](https://github.com/radiantearth/stac-spec/tree/v1.1.0)
[](https://github.com/stac-utils/stac-fastapi)
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## Sponsors & Supporters
The following organizations have contributed time and/or funding to support the development of this project:
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+
+## Project Introduction - What is SFEOS?
+
+SFEOS (stac-fastapi-elasticsearch-opensearch) is a high-performance, scalable API implementation for serving SpatioTemporal Asset Catalog (STAC) data - an enhanced GeoJSON format designed specifically for geospatial assets like satellite imagery, aerial photography, and other Earth observation data. This project enables organizations to:
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+- **Efficiently catalog and search geospatial data** such as satellite imagery, aerial photography, DEMs, and other geospatial assets using Elasticsearch or OpenSearch as the database backend
+- **Implement standardized STAC APIs** that support complex spatial, temporal, and property-based queries across large collections of geospatial data
+- **Scale to millions of geospatial assets** with fast search performance through optimized spatial indexing and query capabilities
+- **Support OGC-compliant filtering** including spatial operations (intersects, contains, etc.) and temporal queries
+- **Perform geospatial aggregations** to analyze data distribution across space and time
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+This implementation builds on the STAC-FastAPI framework, providing a production-ready solution specifically optimized for Elasticsearch and OpenSearch databases. It's ideal for organizations managing large geospatial data catalogs who need efficient discovery and access capabilities through standardized APIs.
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+## Common Deployment Patterns
+
+stac-fastapi-elasticsearch-opensearch can be deployed in several ways depending on your needs:
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+- **Containerized Application**: Run as a Docker container with connections to Elasticsearch/OpenSearch databases
+- **Serverless Function**: Deploy as AWS Lambda or similar serverless function with API Gateway
+- **Traditional Server**: Run on virtual machines or bare metal servers in your infrastructure
+- **Kubernetes**: Deploy as part of a larger microservices architecture with container orchestration
+
+The implementation is flexible and can scale from small local deployments to large production environments serving millions of geospatial assets.
+
## Technologies
This project is built on the following technologies: STAC, stac-fastapi, FastAPI, Elasticsearch, Python, OpenSearch
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## Table of Contents
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