GraphCanon updated Sep 20, 2026 · GitHub synced Sep 20, 2026
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Decision brief
Adaptive-retrieval is a Python-based project focused on adaptive retrieval, but it lacks detailed documentation and specific use cases.
Good fit when
- When you are working with Python and need a tool for adaptive retrieval without strict requirements for detailed documentation or specific use cases.
- If you are open to contributing to or enhancing the project due to its open-source nature under the MIT license.
Avoid when
- If you require a tool with comprehensive documentation and clear use cases, as adaptive-retrieval lacks detailed descriptions.
- When you need a tool that is well-documented and has a community or support structure, as this project does not provide such resources.
Observed Sep 18, 2026 · Source: enrich:decision_facts
Verify the decision
Maintenance and security
Full trust report- Maintenance
- Dormant (442d since push)
- As of Sep 18, 2026
- Provenance
- Not a fork · Personal account
- As of Sep 18, 2026
- Security (OSV)
- No criticals
- As of Sep 18, 2026
Public GitHub metadata and optional OSV scans. Signals, not a guarantee. Trust methodology.
Install
pip install adaptive-retrievalSimilar 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 Python-based project focused on adaptive retrieval, lacking detailed description or topics.
Capability facts
- Languages
- python
Source: github.language · Sep 18, 2026
Categories
Compatibility
Sourced claims from the README excerpt - not unsourced marketing copy.
Source: README excerpt (regex_v1, Sep 18, 2026)
pip install -r requirements.txtSource link
Tags
README
Installation
For agents
This page has a .md twin and JSON over the API.