Releases · neo4j-labs/llm-graph-builder

New Features

Graph Enhancements -
- De-duplication of nodes: User is provided with the option to select and merge nodes to eliminate redundancy and improve accuracy. #566
- Post processing jobs: After extracting the knowledge graph, users can select from a range of post-processing jobs to fine-tune it. These options include:KNN Semantic Similarity Graph of chunks, Full-Text Index on Database Labels and Entity Embeddings Generation. #627
Interactive graph visualization: User can highlight nodes/relations and also search node properties. #696
Data table filtering - Users can refine the data displayed in the UI table by Filtering by file status/source/type/model or Sorting by Column #589, #664
Vector dimensions mismatch - The application checks for compatible vector indexes in the user's graph database. If an incompatible index exists, an error message will appear and users can choose to create a new, compatible vector index. #594
Hybrid search for chunks - The Graph+Vector+FullText retriever indexes nodes and relationships by their string properties using a FullText Index. This allows for efficient retrieval of graph data, specifically from chunk nodes. The 'keyword' index is automatically created if it doesn't exist when this mode is selected. #611, #670

Enhancements

Graph Visualization for each document based on lexical graph or full knowledge graph with entities. #575
OpenAI's LLMs as the default option. For users seeking to run OpenAI-compatible LLMs locally, simply provide the API key, base URL, and model name. The code will seamlessly transition to using ChatOpenAI from langchain. #588
Concurrent File Processing Enhancements -
- Batch Processing: Files are now processed in batches for efficient performance, regardless of whether the user selects a specific number of files or uses the "Select All" checkbox.
- State Persistence: File processing status is maintained even after page refreshes. Waiting files will continue processing once ongoing tasks are completed.
- Dynamic Batching: If the number of files to be processed is less than the batch size, the remaining capacity will be filled with additional files, ensuring optimal processing. #665

Bug Fixes

User Interface Improvements -
- Chat Detail Accuracy: Corrected an issue where incorrect retrieval information was displayed when viewing details of previous chat answers.
- Enhanced UI Clarity: Improved UI elements for better clarity, including tooltips for the model dropdown, enhancements to the graph visualization, and a "Clear Schema" button. #572
Data Integrity and Functionality -
- Label and Relationship Sanitization: Improved data integrity by removing backticks from labels and relationship types. #547
- Visualization Query Accuracy: Fixed an issue where the visualization query was pulling data from unintended documents, ensuring accurate results. #590
General Bug Fixes -
- Addressed several other existing bugs to enhance overall application stability and functionality. #584, #684

Local Filtering for Graph Viz , Lexical Graph, Entity Graph, Refresh - Can have a view of graph for a particular file based on dropdown selection and refresh the graph while file is processing. #497
Graph Enhancements UI - Set schema for KG creation
- Entity Extraction Settings - Option to provide predefined graph schema or schema based on input text for building knowledge graph for multiple sources. #501
- Delete Disconnected nodes - Identifying and removing entities that are not connected to any other information. Remove them to create a cleaner and more efficient knowledge graph that leads to more relevant and informative responses. #493
Support for local Ollama models - Try your own Ollama models when application deployed locally by setting config. #508
Chatbot enhancement -
- Have option to chat with graph using Vector only or graph +Vector #485
- Option to select specific files for QA (all processed sources are considered for QA by default) #514
Entity Embeddings - Create embeddings for entities extracted from LLMs (configurable) #505
Web Pages as Source - Provide web URLs as source for creating knowledge graph. #475

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