Dabarqus
Dabarqus gives you a practical way to add retrieval-augmented generation (RAG) to your app in less than 9 lines of code. Chat with your PDFs, summarize emails and messaging, and digest a vast range of facts, figures, and reports. A dash of genius for your LLM.
Key Features of Dabarqus
Diverse Data Ingestion
Effortlessly ingest various data sources like PDFs, emails, and raw data into memory banks.
Advanced Query Processing
Retrieve precise, context-aware results without needing to construct special queries.
Memory Bank Storage
Store documents in organized memory banks for easy access and retrieval.
Integration Simplicity
Integrate seamlessly across platforms using REST API, SDKs, and CLI tools.
Python Chatbot Example
Utilize Dabarqus with a Python-based chatbot for enhanced user interaction.
Rapid Implementation
Get from zero to RAG in minutes with straightforward setup and usage.
Frequently Asked Questions about Dabarqus
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