Blazing-fast vector DB with similarity search and metadata filtering
...Developers get multiple ingestion paths—batch, streaming, and upsert—making it easy to keep embeddings synchronized as content changes. Hybrid search is a core design goal, allowing you to mix vector, keyword, and filter queries in a single request for practical relevance. Observability and safety round out the system, with metrics, tracing, and guardrails to manage recalls, deletions, and privacy-sensitive data at scale.
A Minor Project made in Python using OMDb API and Tkinter for Frontend
A Minor Project made in Python using Tkinter for frontend which fetches Data about Movies/TV-Series from an Online Database and uses the OMDB REST API and pyImdb to show Information about movies.
Github : https://github.com/Cyborg117/Showtime
Securely store unstructured data in (keyword, record) pairs. Both keywords and record data are encrypted. Ideal for storing passwords, account information, etc. Thus, srd is a general-purpose password vault or a secure rolodesk application.
The Flamenco search and browse interface framework uses hierarchical faceted metadata to allow users to both refine and expand queries, while maintaining a consistent representation of a collection and seamlessly integrating keyword queries.
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