Version 3.4
- 25 Jun 2025
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Version 3.4
- Updated on 25 Jun 2025
- 1 Minute to read
- Contributors
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- PDF
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Version 3.4
24 June, 2025
Important Note
Starting from v3.4, the question-answering-v20 module will be using Qdrant Vector Database to store knowledge base embeddings, replacing the previous in-memory storage for improved scalability and performance. As a result, question-answering-v20 must be used with Knovvu VA & Knovvu ML v3.4 and it is not backward compatible with earlier versions.
Important Note
Starting from v3.4, the ai-agent-v3 module must be used with Knovvu VA & Knovvu ML v3.4 and it is not backward compatible with earlier versions.
Important Note
Starting from v3.4, the text-classification-mlp-v28 module must be used with Knovvu VA & Knovvu ML v3.4 and it is not backward compatible with earlier versions.
AI Module Note
Please use the following stable AI modules for the v3.2 update!
- ai-agent (v3) -- Optional service, requires Qdrant Vector Database
- question-answering (v20) -- Requires Qdrant Vector Database
- generative-ai (v4)
- sentence-embedding (v23)
- text-normalization (v30)
- text-classification-mlp (v28)
- text-sentiment (v18)
- text-clustering (v28)
- text-language (v13)
- text-summarization (v10) -- Requires Vllm for operation, cannot function independently.
Improvements
- Text Clustering with LLM Providers:
Customers can now use their own API keys to choose from a variety of LLM providers—including OpenAI, Azure, Bedrock, Gemini, Together AI, Groq, and Sestek for clustering tasks. This flexibility empowers organizations to optimize for cost, performance, and data privacy based on their specific needs.
New Version of AI Modules:
- ai-agent (v3) has been tested and released.
- question-answering (v20) has been tested and released.
- generative-ai (v4) has been tested and released.
- sentence-embedding (v23) has been tested and released.
- text-normalization (v30) has been tested and released.
- text-classification-mlp (v28) has been tested and released.
- text-clustering (v28) has been tested and released.
- text-language (v13) has been tested and released.
- text-summarization (v10) has been tested and released.
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