Add links to blog posts in the README (#236)

* Add links to blog posts in README

* Fix CHANGELOG, add link to neo4j GenAI ecosystem

Author: stellasia

CHANGELOG.md

@@ -2,14 +2,14 @@
 
 ## Next
 
-## Added
-- Integrated json-repair package to handle and repair invalid JSON generated by LLMs.
-- Introduced InvalidJSONError exception for handling cases where JSON repair fails.
+### Added
+- Integrated `json-repair` package to handle and repair invalid JSON generated by LLMs.
+- Introduced `InvalidJSONError` exception for handling cases where JSON repair fails.
 - Ability to create a Pipeline or SimpleKGPipeline from a config file. See [the example](examples/build_graph/from_config_files/simple_kg_pipeline_from_config_file.py).
 - Added `OllamaLLM` and `OllamaEmbeddings` classes to make Ollama support more explicit. Implementations using the `OpenAILLM` and `OpenAIEmbeddings` classes will still work.
 
-## Changed
-- Updated LLM prompts to include stricter instructions for generating valid JSON.
+### Changed
+- Updated LLM prompt for Entity and Relation extraction to include stricter instructions for generating valid JSON.
 
 ### Fixed
 - Added schema functions to the documentation.

README.md

@@ -7,6 +7,22 @@ As a first-party library, it offers a robust, feature-rich, and high-performance
 
 Documentation can be found [here](https://neo4j.com/docs/neo4j-graphrag-python/)
 
+### Resources
+
+A series of blog posts demonstrating how to use this package:
+
+- Build a Knowledge Graph and use GenAI to answer questions:
+  - [GraphRAG Python Package: Accelerating GenAI With Knowledge Graphs](https://neo4j.com/blog/graphrag-python-package/)
+- Retrievers: when the Neo4j graph is already populated:
+  - [Getting Started With the Neo4j GraphRAG Python Package](https://neo4j.com/developer-blog/get-started-graphrag-python-package/)
+  - [Enriching Vector Search With Graph Traversal Using the GraphRAG Python Package](https://neo4j.com/developer-blog/graph-traversal-graphrag-python-package/)
+  - [Hybrid Retrieval for GraphRAG Applications Using the GraphRAG Python Package](https://neo4j.com/developer-blog/hybrid-retrieval-graphrag-python-package/)
+  - [Enhancing Hybrid Retrieval With Graph Traversal Using the GraphRAG Python Package](https://neo4j.com/developer-blog/enhancing-hybrid-retrieval-graphrag-python-package/)
+  - [Effortless RAG With Text2CypherRetriever](https://medium.com/neo4j/effortless-rag-with-text2cypherretriever-cb1a781ca53c)
+
+A list of Neo4j GenAI-related features can also be found at [Neo4j GenAI Ecosystem](https://neo4j.com/labs/genai-ecosystem/).
+
+
 ## 🐍 Python Version Support
 
 | Version | Supported? |