Public record
Software health reportschema 0.34.0 · metrics 2.10.0 · 2026-09-17 14:12 UTC

langchain-ai / langchain-milvus

The LangChain wrapper of Milvus vector database for efficient vector search, full-text search, hybrid retrieval and RAG.

PythonMIT★ 58 stars⑂ 47 forkssince Sep 2024View on GitHub ↗
KindLibraryhow this is determined
#langchain#rag#search-engine#vector-database

langchain-ai/langchain-milvus holds a health index of 84 out of 100, placing it in the Excellent band. It scores highest on Engineering Quality (80/100) and lowest on Community & Adoption (64/100). It was last updated 15 days ago. A single contributor accounts for most of its recent work.

84
overall / 100
Excellent

Software health index

Metrics are grouped into weighted categories on one standardized 1–100 scale. Overall starts as their weighted mean, calibrated against the distribution of the public record so bands carry percentile meaning; when public evidence triggers the High-Risk Jurisdiction Policy, the rating is adjusted and receives an At Risk ceiling of 34.

84
Exceptional93-100The record's top tier (≈ top 5%); essentially all checked criteria met
Excellent80-92Strong across the board; minor gaps
Good65-79Healthy; gaps are limited and manageable
Moderate50-64Acceptable with notable gaps; review recommended
Weak35-49Material weaknesses across several areas
At Risk20-34Significant weaknesses; adoption warrants caution
Critical1-19Severe problems (abandoned, single-maintainer, no hygiene)
VitalityCommunity &AdoptionSustainability &GovernanceEngineeringQualitySecurityAI Readiness

Score profile

Each axis is a category. The shape matters more than the average — a healthy subject fills the whole shape, while a spike-and-crater profile means strength in one dimension is masking risk in another.

The weighted overall 71 is calibrated to 84 on the published index scale (record calibration 2026-08-02).

Ownership

LangChainOrganization
22,408 followers261 public repossince Mar 2023

This repository is backed by an organization — shared, accountable stewardship that can outlive any single maintainer.

Package ecosystems

RegistryPackageVersionDownloads / moVersionsLast publish
PyPIlangchain-milvus0.4.0-2562 days ago

Metrics by category

Vitality

Is the project alive — is code being written and are releases shipping?

73Good · 21% of overall

Development activity

60Moderate
How it's scored
28.8/36Push recency — last push 15 days ago
11.1/36Commit cadence — 16/52 weeks with commits
13.8/18Commit volume — 33 commits in the last year
6/10OpenSSF Scorecard: Maintained — 8 commit(s) and 0 issue activity found in the last 90 days -- score normalized to 6
Inputs used
commits_last_year33
human_commit_share0.904
days_since_last_push15
active_weeks_last_year16

Release discipline

92Excellent
How it's scored
27/27Ships releases — 17 releases published
36/36Release recency — latest release 62 days ago
19.8/27Release cadence — a release every ~49.7 days
0/10OpenSSF Scorecard: Signed-Releases — no data
Inputs used
releases_count17
latest_release_taglibs/milvus/v0.4.0
releases_from_tagsno
days_since_latest_release62
mean_days_between_releases49.7
Excluded from scoring (no data or not applicable): OpenSSF Scorecard: Signed-Releases. Remaining weights renormalized.

Community & Adoption

Does the project have users, downloads, attention, and a welcoming setup for contributors?

64Moderate · 17% of overall

Popularity & adoption

46Weak
How it's scored
28.5/60Stars — 58 stars
13.9/25Forks — 47 forks
3.9/15Watchers — 6 watchers
Inputs used
forks47
stars58
watchers6
growth_stateunverified
growth_factor_pct100
growth_unverified_reasonno_history

Community health

85Excellent
How it's scored
22.5/22.5README
22.5/22.5License — recognized license (MIT)
18/18CONTRIBUTING guide
13.5/13.5Code of conduct
0/7.2Issue template
0/6.3PR template
Inputs used
has_readmeyes
has_licenseyes
readme_badges3
has_contributingyes
has_issue_templateno
has_code_of_conductyes
readme_badge_servicesshields.io
has_pull_request_templateno

Sustainability & Governance

Will the project survive its people — bus factor, responsiveness, who backs it, and package upkeep?

65Good · 23% of overall

Maintainer resilience (bus factor)

38Weak
How it's scored
9/54Bus factor — 1 contributor(s) cover half of all commits
5.6/22.5Commit distribution — top contributor authored 75% of commits
13.5/13.5Contributor breadth — 14 contributors
10/10OpenSSF Scorecard: Contributors — project has 3 contributing companies or organizations -- score normalized to 10
Inputs used
bus_factor1
contributors_sampled14
top_contributor_share0.753

Issue & PR responsiveness

59Moderate
How it's scored
24.4/42Issue resolution — 58% of issues closed
26.6/30PR acceptance — 93/105 decided PRs merged
0/13Newcomer PR acceptance — no first-time contributor's PR decided in 30d
0/15OpenSSF Scorecard: Code-Review — Found 0/21 approved changesets -- score normalized to 0
Inputs used
merged_prs93
open_issues13
closed_issues18
prs_merged_7d0
prs_decided_7d0
prs_merged_30d0
prs_decided_30d0
issue_closed_ratio0.581
closed_unmerged_prs12
first_time_authors_30d0
first_time_prs_merged_30d0
first_time_prs_decided_30d0
Excluded from scoring (no data or not applicable): Newcomer PR acceptance. Remaining weights renormalized.

Ownership & stewardship

75Good
How it's scored
30/30Ownership backing — organization-owned
0/20Verified domain
25/25Owner reach — 22,408 followers of langchain-ai
20.1/25Track record — 261 public repos, account ~3 yr old
Inputs used
followers22,408
owner_typeOrganization
is_verifiedno
owner_loginlangchain-ai
public_repos261
account_age_days1,295

Package maintenance

100Exceptional
How it's scored
25/25Published & resolvable — 1 package(s) on pypi
35/35Publish recency — latest publish 62 days ago
20/20Version history — 25 published versions
20/20Not deprecated — active, not deprecated or yanked
Inputs used
packageslangchain-milvus
ecosystemspypi
any_deprecatedno
min_days_since_publish62

Engineering Quality

Are baseline engineering and documentation practices in place?

80Excellent · 19% of overall

Engineering practices

84Excellent
How it's scored
24/24CI workflows — 7 workflow(s)
24/24Tests present
16/16Linter config — libs/milvus/pyproject.toml ([tool.ruff])
0/9.6Pre-commit hooks
0/6.4.editorconfig
20/20OpenSSF Scorecard: CI-Tests — 30 out of 30 merged PRs checked by a CI test -- score normalized to 10
Inputs used
has_ciyes
has_testsyes
has_editorconfigno
has_linter_configyes
has_precommit_configno

Documentation

75Good
How it's scored
30/30README
0/25Documentation directory
15/15Documentation / homepage site — https://milvus.io/docs/integrate_with_langchain.md
10/10Repository description
10/10Topics — 4 topics
10/10Wiki
Inputs used
topicslangchain, rag, search-engine, vector-database
has_wikiyes
homepagehttps://milvus.io/docs/integrate_with_langchain.md
docs_sitehttps://milvus.io/docs/integrate_with_langchain.md
has_readmeyes
has_docs_dirno
has_descriptionyes

Security

Are visible security and supply-chain practices strong, without unresolved high-risk jurisdiction exposure?

72Good · 16% of overall

Security posture

65Good
How it's scored
7.5/7.5Binary-Artifacts — no binaries found in the repo
2.2/7.5Branch-Protection — branch protection is not maximal on development and all release branches
2.5/2.5CI-Tests — 30 out of 30 merged PRs checked by a CI test -- score normalized to 10
0/2.5CII-Best-Practices — no effort to earn an OpenSSF best practices badge detected
0/7.5Code-Review — Found 0/21 approved changesets -- score normalized to 0
2.5/2.5Contributors — project has 3 contributing companies or organizations -- score normalized to 10
10/10Dangerous-Workflow — no dangerous workflow patterns detected
7.5/7.5Dependency-Update-Tool — update tool detected
0/5Fuzzing — project is not fuzzed
2.5/2.5License — license file detected
4.5/7.5Maintained — 8 commit(s) and 0 issue activity found in the last 90 days -- score normalized to 6
5/5Packaging — packaging workflow detected
0/5Pinned-Dependencies — dependency not pinned by hash detected -- score normalized to 0
2.5/5SAST — SAST tool is not run on all commits -- score normalized to 5
4.5/5Security-Policy — security policy file detected
0/7.5Signed-Releases — no data
7.5/7.5Token-Permissions — GitHub workflow tokens follow principle of least privilege
4.5/7.5Vulnerabilities — 4 existing vulnerabilities detected
Inputs used
sourceopenssf_scorecard
checks_evaluated17
scorecard_versionv5.5.0
checks_inconclusive1
scorecard_aggregate6.5
Excluded from scoring (no data or not applicable): Signed-Releases. Remaining weights renormalized.

Dependency advisories

100Exceptional
How it's scored
35/35Direct dependencies free of known advisories — no direct dependency carries a known advisory
25/25Indirect dependencies free of known advisories — no indirect dependency carries a known advisory
0/40No advisories left outstanding — no advisory carries a publication date
Inputs used
sourceosv
advisories0
affected_packages0
assessed_packages45
unassessed_packages0
affected_by_severitynone
direct_affected_packages0
Excluded from scoring (no data or not applicable): No advisories left outstanding. Remaining weights renormalized. Matched the pypi:langchain-milvus@0.4.0 runtime dependency closure — what installing the published package pulls in — 45 packages. Reachability is not analyzed.

AI Readiness

How well is the repo equipped to be developed and maintained with AI coding agents? Carries a deliberately small weight (4%): agent tooling is a real maintenance signal, but a repository with none can still reach 100/100.

72Good · 4% of overall

Agent context & guidance

55Moderate
How it's scored
0/45Agent instructions — no CLAUDE.md / AGENTS.md / editor rules
15/15Machine-readable docs (llms.txt) — llms.txt served by the project website (https://milvus.io/llms.txt)
40/40Legible commit history — 81 of 85 human commits state their intent (structured subject or explanatory body)
Inputs used
has_llms_txtyes
llms_txt_urlhttps://milvus.io/llms.txt
legible_history_share0.953
agent_instruction_files—
agent_instruction_max_bytes—

Verify loop (build / test / typecheck)

82Excellent
How it's scored
18/18One-command bootstrap — libs/milvus/Makefile
22/22Automated tests
11/11Lint / format config — libs/milvus/pyproject.toml ([tool.ruff])
11/11Static type checking — libs/milvus/langchain_milvus/py.typed
10/10Reproducible environment — lockfile
2.1/10Demonstrated agent practice — 1 of the last 94 commits agent-authored or agent-credited
8/8Automated maintenance — 9 of the last 94 commits are automated dependency updates
0/10OpenSSF Scorecard: Pinned-Dependencies — dependency not pinned by hash detected -- score normalized to 0
Inputs used
has_nixno
has_testsyes
lockfilespoetry.lock
has_dockerfileno
typed_languageno
bootstrap_fileslibs/milvus/Makefile
has_devcontainerno
has_linter_configyes
typecheck_configslibs/milvus/langchain_milvus/py.typed
agent_commit_share0.011
toolchain_manifests—
dependency_bot_commit_share0.096

Code legibility for models

80Excellent
How it's scored
27/45Type-checkable code — Python with type-check config (libs/milvus/langchain_milvus/py.typed)
53.2/55Manageable file sizes — 1/31 source files over 60KB
Inputs used
primary_languagePython
largest_source_bytes138,756
source_files_sampled31
oversized_source_files1

Key facts

58GitHub stars
14contributors
33commits, last 12 months
15days since last push
17releases
1bus factor
13open issues
—package ecosystems

Data collection warnings

  • Star history unavailable: GitHub GraphQL error: Resource not accessible by personal access token
  • pypi download statistics for 'langchain-milvus' unavailable this scan (stats endpoint failed after retries); adoption may be under-evidenced

More detail

Star and fork history 0 ★ / 47 ⇿
0Stars
47Forks
16Releases

When each star and fork was added, collected from GitHub and bucketed by day. Cumulative growth sits directly above the daily additions it is made of, so the two read against each other: steady organic accretion looks nothing like an abrupt, short-lived burst. Where that difference is measurable, it is reported as growth authenticity.

010203040504622024-092025-092026-09
Major 0Minor 0Patch 0

Each point covers 2 days.

OpenSSF Scorecard 6.5 / 10
6.5aggregate

Independent, tool-agnostic security assessment from the open-source OpenSSF Scorecard. Each check rewards a security practice, not a specific vendor's tool. Checks Scorecard could not determine are marked n/a and excluded from the security score (never counted as zero).Scorecard v5.5.0 · 2026-09-17 14:11 UTC

10Binary-Artifactsno binaries found in the repo
3Branch-Protectionbranch protection is not maximal on development and all release branches
10CI-Tests30 out of 30 merged PRs checked by a CI test -- score normalized to 10
0CII-Best-Practicesno effort to earn an OpenSSF best practices badge detected
0Code-ReviewFound 0/21 approved changesets -- score normalized to 0
10Contributorsproject has 3 contributing companies or organizations -- score normalized to 10
10Dangerous-Workflowno dangerous workflow patterns detected
10Dependency-Update-Toolupdate tool detected
0Fuzzingproject is not fuzzed
10Licenselicense file detected
6Maintained8 commit(s) and 0 issue activity found in the last 90 days -- score normalized to 6
10Packagingpackaging workflow detected
0Pinned-Dependenciesdependency not pinned by hash detected -- score normalized to 0
5SASTSAST tool is not run on all commits -- score normalized to 5
9Security-Policysecurity policy file detected
n/aSigned-Releasesno releases found
10Token-PermissionsGitHub workflow tokens follow principle of least privilege
6Vulnerabilities4 existing vulnerabilities detected
Direct dependencies 3
RegistryPackageVersion constraintManifest
PyPIpymilvus>=3.0.0,<4.0libs/milvus/pyproject.toml
PyPImilvus-lite>=3.1.0,<4.0libs/milvus/pyproject.toml
PyPIlangchain-core>=1.4.9,<2.0.0libs/milvus/pyproject.toml
All dependencies 92

Full resolved dependency set from the GitHub dependency graph: 3 direct and 89 indirect (transitive) packages. The transitive closure is complete when the repository commits a lockfile.

RegistryPackageVersionRelation
PyPIlangchain-core1.4.9direct
PyPImilvus-lite3.1.0direct
PyPIpymilvus3.0.0direct
PyPIannotated-doc0.0.4indirect
PyPIannotated-types0.7.0indirect
PyPIanyio4.11.0indirect
PyPIcachetools7.1.4indirect
PyPIcertifi2025.11.12indirect
PyPIcharset-normalizer3.4.4indirect
PyPIclick8.3.2indirect
PyPIcodespell2.4.1indirect
PyPIcolorama0.4.6indirect
PyPIcoloredlogs15.0.1indirect
PyPIdefusedxml0.7.1indirect
PyPIexceptiongroup1.3.1indirect
PyPIfaiss-cpu1.14.3indirect
PyPIfilelock3.20.3indirect
PyPIflatbuffers25.9.23indirect
PyPIfreezegun1.5.5indirect
PyPIfsspec2025.10.0indirect
PyPIgrpcio1.76.0indirect
PyPIh110.16.0indirect
PyPIhf-xet1.4.3indirect
PyPIhttpcore1.0.9indirect
PyPIhttpx0.28.1indirect
PyPIhuggingface-hub1.9.1indirect
PyPIhumanfriendly10.0indirect
PyPIidna3.18indirect
PyPIiniconfig2.3.0indirect
PyPIjoblib1.5.3indirect
PyPIjsonpatch1.33indirect
PyPIjsonpointer3.0.0indirect
PyPIlangchain-protocol0.0.18indirect
PyPIlangsmith0.8.9indirect
PyPImarkdown-it-py4.0.0indirect
PyPImdurl0.1.2indirect
PyPImpmath1.3.0indirect
PyPImypy1.18.2indirect
PyPImypy-extensions1.1.0indirect
PyPInltk3.10.3indirect
PyPInumpy2.2.6indirect
PyPIonnxruntime1.23.2indirect
PyPIorjson3.11.7indirect
PyPIpackaging25.0indirect
PyPIpandas2.3.3indirect
PyPIpathspec0.12.1indirect
PyPIpluggy1.6.0indirect
PyPIprotobuf6.33.5indirect
PyPIpyarrow25.0.0indirect
PyPIpydantic2.12.4indirect
PyPIpydantic-core2.41.5indirect
PyPIpygments2.20.0indirect
PyPIpymilvus-model0.3.2indirect
PyPIpyreadline33.5.4indirect
PyPIpytest7.4.4indirect
PyPIpytest-asyncio0.21.2indirect
PyPIpytest-mock3.15.1indirect
PyPIpytest-watcher0.3.5indirect
PyPIpython-dateutil2.9.0.post0indirect
PyPIpython-dotenv1.2.2indirect
PyPIpytz2025.2indirect
PyPIpyyaml6.0.3indirect
PyPIregex2025.11.3indirect
PyPIrequests2.33.0indirect
PyPIrequests-toolbelt1.0.0indirect
PyPIrich14.3.3indirect
PyPIruff0.1.15indirect
PyPIsafetensors0.7.0indirect
PyPIscipy1.15.3indirect
PyPIsetuptools83.0.0indirect
PyPIshellingham1.5.4indirect
PyPIsimsimd5.9.11indirect
PyPIsix1.17.0indirect
PyPIsniffio1.3.1indirect
PyPIsympy1.14.0indirect
PyPIsyrupy4.9.1indirect
PyPItenacity9.1.2indirect
PyPItokenizers0.22.1indirect
PyPItomli2.3.0indirect
PyPItqdm4.67.1indirect
PyPItransformers5.10.1indirect
PyPItyper0.24.1indirect
PyPItypes-requests2.32.4.20250913indirect
PyPItyping-extensions4.15.0indirect
PyPItyping-inspection0.4.2indirect
PyPItzdata2025.2indirect
PyPIurllib32.7.0indirect
PyPIuuid-utils0.14.1indirect
PyPIwatchdog6.0.0indirect
PyPIwebsockets16.0indirect
PyPIxxhash3.6.0indirect
PyPIzstandard0.25.0indirect
Dependency advisories 0

Installing pypi:langchain-milvus@0.4.0 pulls in 45 packages, direct and transitive: 0 carry known advisories, of which 0 are direct dependencies.

No known advisories affect the assessed dependencies.

An advisory means the version recorded in the dependency graph falls inside an advisory’s affected range. Reachability is not analysed, and the graph includes development and test pins — a finding may concern tooling rather than shipped software.

Raw JSON report machine-readable

Feedback

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Scores are signals, not warranties. They reflect publicly visible practices on GitHub — not a code audit, and not a security guarantee.

Missing data is excluded and weights renormalized, never scored as zero. Methodology is versioned and open: metrics v2.10.0, schema v0.34.0 — full methodology · metrics wiki.

How one result sits in the wider record: aggregate statistics — PyPI.