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pgvector

pgvector

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What is pgvector?

pgvector is an open-source PostgreSQL extension for storing and querying vector embeddings. It enables you to store embeddings from machine learning models directly in your database and efficiently perform similarity searches using various distance metrics like cosine distance, Euclidean distance, and inner product. This makes it suitable for applications like semantic search, recommendation systems, anomaly detection, and other tasks that rely on vector similarity.

What other technologies are related to pgvector?

pgvector Competitor Technologies

Pinecone is a managed vector database service, directly competing with pgvector by offering similar vector storage and search functionalities.
mentioned alongside pgvector in 6% (217) of relevant job posts
ChromaDB is an open-source embedding database, providing an alternative solution for vector storage and retrieval, thus competing with pgvector.
mentioned alongside pgvector in 10% (73) of relevant job posts
Qdrant is a vector similarity search engine, offering similar capabilities to pgvector for storing and querying vector embeddings.
mentioned alongside pgvector in 8% (56) of relevant job posts
Milvus is an open-source vector database built to manage embedding vectors produced by machine learning models and neural networks, and thus is a competitor to pgvector.
mentioned alongside pgvector in 4% (58) of relevant job posts
OpenSearch offers vector search capabilities via plugins, competing with pgvector in the vector database space.
mentioned alongside pgvector in 0% (77) of relevant job posts

pgvector Complementary Technologies

LangChain is a framework for developing applications powered by language models. It can be used with pgvector to store and retrieve embeddings generated by LLMs, thus complementing pgvector.
mentioned alongside pgvector in 1% (251) of relevant job posts
LlamaIndex is a data framework for LLM applications, which can be used with pgvector to index and query data using vector embeddings. This complements pgvector's capabilities.
mentioned alongside pgvector in 2% (116) of relevant job posts
AWS Bedrock is a service that offers various foundation models. These models can be used to generate embeddings that are stored in pgvector, thus complementing it.
mentioned alongside pgvector in 1% (65) of relevant job posts

Which job functions mention pgvector?

Job function
Jobs mentioning pgvector
Orgs mentioning pgvector
Data, Analytics & Machine Learning

Which organizations are mentioning pgvector?

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