The integration with OpenAI's models is a game-changer for my projects. It simplifies the process of implementing AI features in my applications.
The cost structure can be a bit confusing at first. I had to track my usage carefully to avoid unexpected charges.
Graphlit enables efficient semantic search capabilities in my app, allowing users to find relevant information quickly, which greatly improves the user experience.
I appreciate the ability to handle unstructured data effectively, especially when extracting knowledge from various sources like PDFs and web pages. The integration with GPT-4 adds a powerful layer of AI capabilities.
The initial learning curve can be steep, particularly for developers who are not familiar with API-first platforms. Some documentation could be clearer.
Graphlit helps streamline the process of building AI applications by automating data workflows. This saves time and reduces complexity, enabling me to focus more on app development rather than data management.
The ability to manage various types of unstructured data is impressive. It's great for projects that require flexibility in data handling.
I found the documentation somewhat lacking, which made it difficult for me to use some advanced features effectively.
It helps in organizing and retrieving information from disorganized sources, but I believe it could improve in user interface friendliness.
I love the AI capabilities for knowledge extraction. It makes my applications smarter and more responsive to user queries.
The setup process can be a bit overwhelming for newcomers, but once you get past that, it's smooth sailing.
It effectively manages a vast amount of unstructured data, which is crucial for my projects in the healthcare sector. This leads to better data-driven decision-making.
The cloud-native infrastructure is a big plus for scalability. I can easily adapt my application as user demands grow.
Some features feel a bit underdeveloped, and I would love to see more examples in the documentation.
It simplifies the workflow of data ingestion and processing, which allows my team to be more productive in the long run.
The multimedia management capabilities are outstanding. I can easily integrate YouTube videos and podcasts into my applications, which enhances user engagement.
Sometimes, the response time can be slower than expected when processing large datasets, but it is usually manageable.
It allows me to create conversational knowledge graphs seamlessly, which is essential for my work in developing customer support applications. This leads to better customer interaction and satisfaction.