🔍 #txtai - All-in-one #embeddings database combining vector indexes, graph networks & relational databases
💡 Key Features:
• Vector search with SQL support, object storage, topic modeling & multimodal indexing for text, documents, audio, images & video
• Built-in #RAG capabilities with citation support & autonomous #AI agents for complex problem-solving
• #LLM orchestration supporting multiple frameworks including #HuggingFace, #OpenAI & AWS Bedrock
• Seamless integration with #Python 3.9+, built on #FastAPI & Sentence Transformers
🛠️ Technical Highlights:
• Supports multiple programming languages through API bindings (#JavaScript, #Java, #Rust, #Go)
• Easy deployment: run locally or scale with container orchestration
• #opensource under Apache 2.0 license
• Minimal setup: installation via pip or Docker
🔄 Use Cases:
• Semantic search applications
• Knowledge base construction
• Multi-model workflows
• Speech-to-speech processing
• Document analysis & summarization
Learn more: https://github.com/neuml/txtai
michabbb /
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2024-11-10 23:14:52
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