dotenv-vault
pgvector
dotenv-vault | pgvector | |
---|---|---|
9 | 79 | |
1,024 | 9,473 | |
2.9% | 8.2% | |
8.6 | 9.9 | |
3 months ago | 7 days ago | |
TypeScript | C | |
MIT License | GNU General Public License v3.0 or later |
Stars - the number of stars that a project has on GitHub. Growth - month over month growth in stars.
Activity is a relative number indicating how actively a project is being developed. Recent commits have higher weight than older ones.
For example, an activity of 9.0 indicates that a project is amongst the top 10% of the most actively developed projects that we are tracking.
dotenv-vault
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Node.js 20.6 adds built-in support for .env files
dotenv-vault is another popular package that lets you encrypt your secret and decrypt the file just in time. They are quite helpful for production and CIT environments but are not supported currently.
- FLaNK 04 March 2024
- Dotenv-vault: a CLI to sync .env files across machines, envs, and team members
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SecureStore VS dotenv-vault - a user suggested alternative
2 projects | 4 Nov 2023
A secrets manager for .env and .env.vault files. Sync your secrets across teams, machines, and environments.
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Show HN: Shello – Wrangle Environment Variables
A secrets manager for .env and .env.vault files. Sync your secrets across teams, machines, and environments.
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appsettings.json secrets for local and for deployments
A secrets manager for .env and .env.vault files. Sync your secrets across teams, machines, and environments.
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What are the best ways to prevent writing secrets in the code.
A secrets manager for .env and .env.vault files. Sync your secrets across teams, machines, and environments.
- Show HN: Dotenv-vault – Sync your .env files, quickly and securely
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Adding URL Search Parameters to Imports?
Works with dotenv-vault. Learn more at dotenv.org.
pgvector
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Integrate txtai with Postgres
# Install Postgres and pgvector !apt-get update && apt install postgresql postgresql-server-dev-14 !git clone --branch v0.6.2 https://github.com/pgvector/pgvector.git !cd pgvector && make && make install # Start database !service postgresql start !sudo -u postgres psql -U postgres -c "ALTER USER postgres PASSWORD 'pass';"
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Vector Database solutions on AWS
When talking about Vector Databases, in the market we can find the specialized ones and multi-model, most of the major database providers like Oracle, PostgreSQL or MongoDB, for mention some of them, have integrated a specific solution to retrieve vector data.
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Using pgvector To Locate Similarities In Enterprise Data
For this example, I wanted to focus on how pgvector – an open-source vector similarity search for Postgres – can be used to identify data similarities that exist in enterprise data.
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pgvector vs. pgvecto.rs in 2024: A Comprehensive Comparison for Vector Search in PostgreSQL
pgvector supports dense vector search well, but it does not have plan to support sparse vector.
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Pg_vectorize: The simplest way to do vector search and RAG on Postgres
There's an issue in the pgvector repo about someone having several ~10-20million row tables and getting acceptable performance with the right hardware and some performance tuning: https://github.com/pgvector/pgvector/issues/455
I'm in the early stages of evaluating pgvector myself. but having used pinecone I currently am liking pgvector better because of it being open source. The indexing algorithm is clear, one can understand and modify the parameters. Furthermore the database is postgresql, not a proprietary document store. When the other data in the problem is stored relationally, it is very convenient to have the vectors stored like this as well. And postgresql has good observability and metrics. I think when it comes to flexibility for specialized applications, pgvector seems like the clear winner. But I can definitely see pinecone's appeal if vector search is not a core component of the problem/business, as it is very easy to use and scales very easily
- FLaNK 04 March 2024
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Vector Database and Spring IA
The Spring AI project aims to streamline the development of applications that incorporate artificial intelligence functionality without unnecessary complexity. On this example we use features like: Embedding, Prompts, ETL and save all embedding on PGvector(Postgres Vector database)
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Use pgvector for searching images on Azure Cosmos DB for PostgreSQL
Official GitHub repository of the pgvector extension
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pgvector 0.6.0: 30x faster with parallel index builds
pgvector 0.6.0 was just released and will be available on Supabase projects soon. Again, a special shout out to Andrew Kane and everyone else who worked on parallel index builds.
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Store embeddings in Azure Cosmos DB for PostgreSQL with pgvector
The pgvector extension adds vector similarity search capabilities to your PostgreSQL database. To use the extension, you have to first create it in your database. You can install the extension, by connecting to your database and running the CREATE EXTENSION command from the psql command prompt:
What are some alternatives?
infisical - ♾ Infisical is the open-source secret management platform: Sync secrets across your team/infrastructure and prevent secret leaks.
Milvus - A cloud-native vector database, storage for next generation AI applications
env-manager - Garnet is a developer-friendly, open-source tool for managing environment variables and secrets.
faiss - A library for efficient similarity search and clustering of dense vectors.
envars - Securely load environment variables (configuration settings) from .env files with support of Google Secret Manager.
Weaviate - Weaviate is an open-source vector database that stores both objects and vectors, allowing for the combination of vector search with structured filtering with the fault tolerance and scalability of a cloud-native database.
dotenv - Loads environment variables from .env for nodejs projects.
Elasticsearch - Free and Open, Distributed, RESTful Search Engine
dotenvLICENSE
qdrant - Qdrant - High-performance, massive-scale Vector Database for the next generation of AI. Also available in the cloud https://cloud.qdrant.io/
typedotenv - dotenv utility for TypeScript
ann-benchmarks - Benchmarks of approximate nearest neighbor libraries in Python