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SAG

Zleap-AI/SAG

Document retrieval system built on SAG

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

28views this month

2.5k stars162 forksLast push Sep 20, 2026 Python MIT

Decision brief

SAG is a document retrieval project built with TypeScript to aid in efficient search and retrieval within knowledge bases.

Good fit when

  • When you need graph and vector-based techniques for retrieving documents
  • If your application requires integration capabilities within a knowledge base environment using TypeScript

Avoid when

  • Avoid if the project requires features not supported by TypeScript, favoring alternative languages or environments instead
  • Do not use SAG when the architecture of your system cannot benefit from graph and vector-based retrieval methods, as it may lead to underutilization of its capabilities

Observed Jul 14, 2026 · Source: enrich:decision_facts

Verify the decision

Maintenance and security

Full trust report
Maintenance
Very active (0d since push)
As of Sep 20, 2026
Provenance
Not a fork · Organization account
As of Sep 20, 2026
Security (OSV)
No lockfile
As of Jul 11, 2026

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

Install

pip install SAG
PyPI

Similar tools

Same-category neighbours. No typed graph edges are catalogued for this tool yet.

Evidence and technical details

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

Overview

A document retrieval project developed using TypeScript to enable efficient search and retrieval of information within a knowledge base utilizing graph and vector-based techniques.

Capability facts

Languages
python

Source: github.language · Sep 20, 2026

Categories

Compatibility

Sourced claims from the README excerpt - not unsourced marketing copy.

Python runtimePython

Source: README excerpt (regex_v1, Sep 20, 2026)

No API key, Python runtime, Node runtime, or external database is required to boot the application.
Source link

Tags

README

Quick start (Docker, self hosted) Requirements: Docker Desktop, or Docker Engine with Compose v2. No API key, Python runtime, Node runtime, or external database is required to boot the application. When both services are healthy, open: Web application: http://localhost:3000 API d...

For agents

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

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