Fleak simplifies the process of using function calls and AWS Lambda through LLMs, allowing developers to easily manage and execute serverless workflows. With Fleak, integrating LLM-based function execution becomes seamless, making it effortless to build intelligent, scalable applications that leverage the power of cloud computing.

Fleak streamlines the process of summarizing text, generating embeddings, and storing them in vector databases like Pinecone, enabling efficient data retrieval and analysis across various domains.

Fleak enables efficient Retrieval-Augmented Generation (RAG) by integrating Pinecone vector database retrieval with LLM-based answer generation, suitable for various information-rich applications.

Fleak provides a versatile platform for sentiment analysis across diverse data sources, using SQL and LLMs to process and label content, which can then be easily deployed as scalable API endpoints.

Fleak is a platform that enables data teams to create scalable, personalized email workflows using SQL and LLMs, offering easy integration through API endpoints and serverless infrastructure.