Designed for optimal indexing and retrieval, LlamaIndex excels in delivering high efficiency for applications requiring precise and fast data access. By combining Novita AI with LlamaIndex, you will unlock key benefits such as superior data retrieval accuracy, unmatched scalability, and cost-effective performance. This guide will walk you through how to use LlamaIndex with Novita AI based on the OpenAl APl, offering smarter, scalable, and highly efficient AI solutions that drive innovation and deliver exceptional results for developers.

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How to Integrate Novita AI API with LlamaIndex

Step 1: Visit Model Library on Novita AI and select a model of interest.
images/Step1VisitModelLibraryonNovitaAIandselectamodelofinterest.png
Step 2: Navigate to the demo page of the chosen model and click the Code button on the right.
images/Step2NavigatetothedemopageofthechosenmodelandclicktheCodebuttonontheright.png
Step 3: Copy the model’s name and make a note of it.
images/Step3Copythemodel’snameandmakeanoteofit.png
Step 4: Log in to the Novita platform.
images/Step4LogintotheNovitaplatform.png
Step 5: After logging in, go to the platform’s settings page.
images/Step5Afterloggingin,gototheplatform’ssettingspage.png
Step 6: Create a new API key and copy it for service authentication.
images/Step6CreateanewAPIkeyandcopyitforserviceauthentication.png
Step 7: Install llama_index and related Python libraries by running:
images/Step7Installllama_indexandrelatedPythonlibrariesbyrunning.png
Step 8: Write Python code and set the model name and API key as parameters in the NovitaAI class.
images/Step8WritePythoncodeandsetthemodelnameandAPIkeyasparametersintheNovitaAIclass.png
Step 9: Run the code to get the output.
images/Step9Runthecodetogettheoutput.png
For more examples, refer to the documentation: llama_index/llama-index-integrations/llms/llama-index-llms-novita at main · run-llama/llama_index.