Welcome to our channel! In this video, we explore Vectorize, a powerful new RAG engine that enhances semantic search, embeddings, vector search, and more. Discover how Vectorize can streamline your AI application development by automating data extraction and optimizing real-time RAG pipelines.
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[Must Watch]:
RagFlow: Ultimate RAG Engine – Semantic Search, Embeddings, Vector Search + Supports Graph!: https://youtu.be/ApA-7G7FGRc?si=umgpw-PsthAzM8ln
Chatling: How To Build a Custom Trained AI Chatbot with a Drag-and-Drop UI!: https://youtu.be/q8QlSF_zqO8?si=tBPlYY_JesQYVsbC
OpenAI Swarm: NEW Opensource Multi-Agent Framework! Automate Your Life!: https://youtu.be/OUADXghQkFw?si=Gh_J7g9QRwavUvnK
[Link’s Used]:
Website: https://vectorize.io/
Docs: https://docs.vectorize.io/
Features:
– RAG Evaluation Tools: Automatically assesses and recommends the best chunking and embedding strategies for your data.
– RAG Pipeline Builder: Easily construct vector search indexes from unstructured data sources like documents and knowledge bases.
– Real-Time Updates: Keep your vector indexes synchronized with your unstructured data for always up-to-date results.
Whether you’re an AI developer or a data engineer, Vectorize has something for everyone! Check out the links in the description for more resources and to get started.
Tags: Vectorize, RAG engine, semantic search, embeddings, vector search, AI development, data engineering, machine learning, cloud service, automation, data extraction
Hashtags: #Vectorize #RAGEngine #SemanticSearch #Embeddings #VectorSearch #ai #dataengineering w
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