philippgille/chromem-go
Embeddable vector database for Go with Chroma-like interface and zero third-party dependencies. In-memory with optional persistence.
This tool helps Go developers build applications that use artificial intelligence to answer questions or search through text. It allows you to embed a compact, efficient vector database directly into your Go application, letting you feed documents or text snippets in and then retrieve the most relevant information based on a user's query. This is ideal for Go developers looking to add AI-powered search or question-answering capabilities to their existing applications without managing an external database.
893 stars. No commits in the last 6 months.
Use this if you are a Go developer building an application where you need to quickly find the most relevant information from a set of documents using AI embeddings, without the overhead of a separate database server.
Not ideal if your application requires handling millions of documents or demands a very broad set of advanced vector database features, as this tool prioritizes simplicity and performance for common use cases.
Stars
893
Forks
62
Language
Go
License
MPL-2.0
Category
Last pushed
Oct 10, 2025
Commits (30d)
0
Get this data via API
curl "https://pt-edge.onrender.com/api/v1/quality/vector-db/philippgille/chromem-go"
Open to everyone — 100 requests/day, no key needed. Get a free key for 1,000/day.
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