Lantern vs Pg_vectorize
Overview
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CLI (Node.js)
Manual
Detailed Comparison
It is an open-source PostgreSQL database extension to store vector data, generate embeddings, and handle vector search operations. It provides a new index type for vector columns which speeds up ORDER BY ... LIMIT queries. | It is a Postgres extension that automates the transformation and orchestration of text to embeddings and provides hooks into the most popular LLMs. This allows you to do vector search and build LLM applications on existing data with as little as two function calls. |
Embedding generation for popular use cases;
Interoperability with pgvector's data type, so anyone using pgvector can switch to Lantern;
Parallel index creation via an external indexer;
Ability to generate the index graph outside of the database server | Workflows for both vector search and RAG;
Integrations with OpenAI's embeddings;
Automated creation of Postgres triggers to keep your embeddings up to date |
Statistics | |
GitHub Stars 865 | GitHub Stars - |
GitHub Forks 63 | GitHub Forks - |
Stacks 1 | Stacks 0 |
Followers 2 | Followers 0 |
Votes 0 | Votes 0 |
Integrations | |
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