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The main features of bolna-ai/bolna are: Voice & Multimodal Assistants.
Projects with overlapping indexed features include: claritylab/lucida — Lucida is a multimodal AI assistant framework and containerized microservice orchestrator. It provides a platform for… devnen/chatterbox-tts-server. haotian-liu/llava — LLaVA is a multimodal large language model architecture designed to process and interpret both image and text inputs… herotools/open-whispr. livekit/agents — This project is a framework for developing multimodal AI agents that function as programmable participants in… souzatharsis/podcastfy — Podcastfy is an AI content-to-podcast generator that converts text, URLs, PDFs, images, and videos into conversational…
Lucida is a multimodal AI assistant framework and containerized microservice orchestrator. It provides a platform for building agents that process and integrate speech, vision, and text inputs to perform intelligent tasks, supported by a retrieval-augmented generation system for storing and querying factual data from texts, URLs, and images. The framework features a state-graph workflow engine to route user requests through a sequence of microservices using a predefined state machine. It also includes an extensible plugin interface that allows for the integration of custom functional modules
LLaVA is a multimodal large language model architecture designed to process and interpret both image and text inputs to generate natural language responses. It functions as a research-oriented platform for visual instruction tuning, providing a framework to align language models with human intent through training on diverse datasets of paired images and text queries. The system distinguishes itself through a specialized vision-language training pipeline that connects visual data to language models using projection layers and instruction-based fine-tuning. It supports distributed inference by