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CHANGELOG.md

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## Next
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## Added
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- Integrated json-repair package to handle and repair invalid JSON generated by LLMs.
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- Introduced InvalidJSONError exception for handling cases where JSON repair fails.
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## 1.3.0
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### Added
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- Integrated `json-repair` package to handle and repair invalid JSON generated by LLMs.
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- Introduced `InvalidJSONError` exception for handling cases where JSON repair fails.
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- 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).
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- Added `OllamaLLM` and `OllamaEmbeddings` classes to make Ollama support more explicit. Implementations using the `OpenAILLM` and `OpenAIEmbeddings` classes will still work.
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## Changed
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- Updated LLM prompts to include stricter instructions for generating valid JSON.
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### Changed
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- Updated LLM prompt for Entity and Relation extraction to include stricter instructions for generating valid JSON.
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### Fixed
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- Added schema functions to the documentation.

README.md

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

pyproject.toml

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[tool.poetry]
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name = "neo4j-graphrag"
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version = "1.2.1"
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version = "1.3.0"
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description = "Python package to allow easy integration to Neo4j's GraphRAG features"
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authors = ["Neo4j, Inc <[email protected]>"]
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license = "Apache License, Version 2.0"

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