pathwaycom/llm-app
Ready-to-run cloud templates for building real-time RAG, AI pipelines, and enterprise search applications that synchronize with various live data sources.
Awesome Infra for AI › Vector Databases & Retrieval Infrastructure
different-ai/embedbase
Embedbase offers a hosted embeddings-as-a-service solution, simplifying the development of LLM-powered applications. It provides an API that abstracts away the complexities of managing vector databases and interacting with multiple LLMs. Key features include the ability to generate text using over nine different LLMs and semantic search capabilities. Users can add semantically searchable information to datasets and query them with ease. The service is designed for developers who want to integrate LLM functionalities like recommendation engines, chat with data, and smart document search into their applications without needing to host or manage the underlying AI infrastructure. Embedbase handles the backend for embeddings, LLM access, and basic semantic search, providing a streamlined experience for building AI applications.
https://github.com/different-ai/embedbase
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