bb679c2dd7
* Update cognify and the networkx client to prepare for running in Neo4j * Fix for openai model * Add the fix to the infra so that the models can be passed to the library. Enable llm_provider to be passed. * Auto graph generation now works with neo4j * Added fixes for both neo4j and networkx * Explicitly name semantic node connections * Added updated docs, readme, chunkers and updates to cognify * Make docs build trigger only when changes on it happen * Update docs, test git actions * Separate cognify logic into tasks * Introduce dspy knowledge graph extraction --------- Co-authored-by: Boris Arzentar <borisarzentar@gmail.com>
57 lines
2 KiB
Markdown
57 lines
2 KiB
Markdown
---
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draft: False
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date: 2024-05-08
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tags:
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- pydantic
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- langchain
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- llm
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- openai
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- functions
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- pdfs
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authors:
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- tricalt
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---
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## Cognee - release v0.1.4
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## New Features
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### Enhanced Text Processing Capabilities:
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Customizable models for classification, summarization, and labeling have been introduced to extend the versatility of our text analytics.
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### Better Graph Integration and Visualization:
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We have revamped our graph logic. Introduced comprehensive support for multiple graph database types including but not limited to Neo4j and NetworkX, enhancing integration and scalability.
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New functions for graph rendering, color palette generation, and dynamic graph visualization to help you better visualize data relationships and structures.
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### DSPy Module:
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You can now train your graph generation query on a dataset and visualize the results with the dspy module.
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### Async Support:
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Added asyncio support in various modules to improve performance and system efficiency, reducing latency and resource consumption.
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## Enhancements
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### Infrastructure Upgrades:
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Our infrastructure has been significantly upgraded to support a wider range of models and third-party providers, ensuring compatibility and performance. Improved configuration settings for a more robust and adaptive operational environment.
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### Graph and Logic Improvements:
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Improved Neo4j Integration: Enhancements to our Neo4j graph database integration for better performance and stability. Semantic Links and Node Logic: We have improved the semantic linkage between nodes and enhanced the node logic for a more intuitive and powerful user experience.
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## Refactor
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### Asynchronous Module Updates:
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Various modules have been updated to use asynchronous operations to enhance the responsiveness and scalability of our systems.
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## Documentation
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### Enhanced Documentation:
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We have extensively added to and reorganized our documentation.
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## Bug Fixes
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### Data Handling and Logic Improvements:
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Fixed several inconsistencies in data handling and improved the logic flow in text input processing.
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