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semantic-coverage

aashirpersonal/semantic-coverage

Automated detection of knowledge gaps and blind spots in RAG vector stores

GraphCanon updated Sep 30, 2026 · GitHub synced Sep 20, 2026

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13 stars0 forksLast push Dec 24, 2025 Python

Decision brief

Semantic-coverage is a Python tool designed to automate the detection of knowledge gaps and blind spots in Retrieval-Augmented Generation (RAG) vector stores, aiding in the evaluation of knowledge completeness.

Good fit when

  • When you need to evaluate the completeness of knowledge in RAG vector stores and identify specific areas where the data is lacking.
  • If your project involves continuous updates to a RAG vector store and you require regular checks for new blind spots or gaps.

Avoid when

  • If your application does not involve RAG vector stores or if you are not concerned with the completeness of the knowledge within these stores.
  • When you are working with small datasets where manual inspection of knowledge gaps is feasible and more efficient than automated detection.
Requirements:
The tool requires Python and relevant dependencies to be installed.

Observed Sep 18, 2026 · Source: enrich:decision_facts

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Maintenance and security

Full trust report
Maintenance
Slowing (267d since push)
As of Sep 18, 2026
Provenance
Not a fork · Personal account
As of Sep 18, 2026
Security (OSV)
No lockfile
As of Sep 18, 2026

Public GitHub metadata and optional OSV scans. Signals, not a guarantee. Trust methodology.

Install

pip install semantic-coverage
PyPI

Similar tools

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Evidence and technical details

Sourced facts, taxonomy, compatibility claims, README excerpt, and machine-readable endpoints.

Overview

A tool for identifying gaps and blind spots in Retrieval-Augmented Generation (RAG) vector stores, aiding in the evaluation of knowledge completeness.

Capability facts

Languages
python

Source: github.language · Sep 18, 2026

Categories

Tags

README

1. Installation ```bash git clone https://github.com/aashirpersonal/semantic coverage.git cd semantic coverage

For agents

This page has a .md twin and JSON over the API.

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