GenAI Features and Tools

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GenAI Features

1. Low-Code AI Workflow Builder

Alternative: FlowiseAI

• A low-code/no-code visual builder for creating workflows using LLMs like OpenAI's GPT or open-source alternatives.

• Integrates with LangChain for managing conversational AI workflows.

Other tools:

• Node-RED: General-purpose low-code platform that can be extended for AI workflows.

• Jina AI: For building multimodal AI workflows.

2. Knowledge Management & RAG (Retrieval-Augmented Generation)

Alternative:

• Haystack by deepset:

  • Open-source framework for RAG pipelines.

  • Handles vector search, data ingestion, and question-answering over documents.

  • Integrates with databases like Elasticsearch, Weaviate, or Pinecone.

• Milvus: Open-source vector database for embedding-based retrieval.

Other tools:

• ChromaDB: A lightweight, fast vector database.

• Weaviate: Another vector search engine for RAG use cases.

3. On-Premise Deployment

Alternative:

• Hugging Face Transformers:

  • Host and deploy LLMs or other AI models on-premises.

  • Works with TensorFlow, PyTorch, and JAX.

• MLflow:

  • Platform for managing the end-to-end machine learning lifecycle, including deployment on local infrastructure.

4. Observability

Alternative:

• Evidently AI:

  • Open-source tool for monitoring AI models in production.

  • Tracks data drift, model performance, and key metrics.

• Prometheus + Grafana:

  • Prometheus can collect AI application metrics, while Grafana visualizes them in real-time dashboards.

Other tools:

• Arize AI: Observability for production AI models.

• WhyLogs: AI model monitoring and debugging.

5. Fine-Tuning of LLMs

Alternative:

• LoRA (Low-Rank Adaptation):

  • Open-source implementation for fine-tuning large language models efficiently.

• PEFT by Hugging Face:

  • Parameter-efficient fine-tuning library.

• Alpaca-LoRA:

  • Fine-tunes models like LLaMA efficiently.

Other tools:

• OpenLLM: Open-source platform for serving and fine-tuning open-source LLMs.

6. Guardrails

Alternative:

• Guardrails AI:

  • Provides validation and monitoring for LLM outputs.

  • Ensures outputs align with expectations and constraints.

• LangChain Output Parsers:

  • Helps validate and parse LLM outputs to conform to required formats.

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Combined Open-Source Stack

1. Workflow Builder: Flowise + LangChain.

2. RAG: Haystack or Milvus.

3. Deployment: Hugging Face Transformers or MLflow.

4. Observability: Evidently AI or WhyLogs.

5. Fine-Tuning: LoRA or PEFT.

6. Guardrails: Guardrails AI.

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