VectorDB
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What is VectorDB?
A VectorDB is a type of database that stores data as high-dimensional vectors. These vectors represent the semantic meaning of the data, allowing for efficient similarity searches based on proximity in vector space. Vector databases are commonly used in applications such as recommendation systems, image recognition, natural language processing, and anomaly detection where finding similar items or data points is crucial.
What other technologies are related to VectorDB?
VectorDB Complementary Technologies
LangChain
LangChain is a framework for developing applications powered by language models. It is complementary as it can be used to build applications that leverage VectorDBs for enhanced functionality.
RAG
Retrieval Augmented Generation (RAG) is a framework used to enhance the abilities of LLMs, such as grounding it with real-time data from a VectorDB.
HuggingFace
Hugging Face provides tools and models that can be used to generate embeddings for data stored in VectorDBs.
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Which job functions commonly mention VectorDB?
MLOps Engineer
0.2% of all MLOps Engineer jobs mention VectorDB
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jobs on Sumble
Prompt Engineer
0.2% of all Prompt Engineer jobs mention VectorDB
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jobs on Sumble
AI Engineer
0.1% of all AI Engineer jobs mention VectorDB
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jobs on Sumble
Machine Learning
0.1% of all Machine Learning jobs mention VectorDB
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jobs on Sumble
Data Scientist
78 Data Scientist jobs mention VectorDB
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jobs on Sumble
Which organizations are mentioning VectorDB?
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