# BAAI FlagEmbedding - **Canonical URI:** https://www.vioscale.ai/software/baai-flagembedding - **Category:** Embeddings Apis - **Homepage:** https://github.com/FlagOpen/FlagEmbedding - **Also known as:** baai-flagembedding - **Profile claimed by vendor:** no - **Last updated:** 2026-08-26T19:31:11.734Z ## Vioscale score **58.6 / 100**, confidence 27% (low). Computed 2026-09-01. _(updating — computed under an earlier model version or past its freshness window.)_ Composite of weighted, independently-sourced signals (no user reviews, no vendor payment). | Signal | Score | Weight | Contribution | Evidence present | |---|--:|--:|--:|:--:| | price_level | 100 | 0.052 | 5.2 | ✓ | | reliability | 0 | 0.073 | 0 | - | | capabilities | 81.2 | 0.084 | 6.8 | ✓ | | repo_stars | 77 | 0.026 | 2 | ✓ | | integrations | 0 | 0.09355555555555557 | 0 | - | | dependent_projects | 5 | 0.063 | 0.3 | ✓ | | dev_activity | 36.1 | 0.094 | 3.4 | ✓ | | release_cadence | 42.2 | 0.052 | 2.2 | ✓ | | security_posture | 0 | 0.073 | 0 | - | | package_downloads | 0 | 0.136 | 0 | - | | security_score | 0 | 0.042 | 0 | - | | pricing_transparency | 80 | 0.084 | 6.7 | ✓ | | community_qa_activity | 0 | 0.063 | 0 | - | ## Pricing _As of 2026-08-21, [verify at source](https://github.com/pricing). Independently observed._ Open source · Free tier > Free and open source under MIT license ## About A library of state-of-the-art embedding models supporting dense, lexical, and cross-encoder retrieval methods for text and image search, available as free and open-source software. _Independently observed._ ## Platform & deployment - **Platforms:** CLI, Web - **Deployment:** Cloud / SaaS, On-premise, Self-hosted ## Capabilities _The capabilities that matter for Embeddings Apis. "-" = undocumented, not absent._ | Capability | Supported | |---|:--:| | **Capabilities** | | | Architecture model | Open weights local | | Matryoshka representation learning for dimension truncation | - | | Multilingual support across 100 plus languages | ✓ | | Binary and scalar quantization for memory reduction | - | | Cross encoder reranker API offered | ✓ | | Late interaction architecture colbert v2 | ✓ | | Massive context window greater than 8k tokens | ✓ | | Multi modal image and text joint embeddings | ✓ | | Task specific prefixes query vs document instructions | - | | Zero data retention training opt out enterprise | - | | SOC2 type ii | - | | Mit or apache permissive oss license | ✓ | | Pricing model | Free open weights | ## Release history | Version | Date | Type | |---|---|---| | [v1.4.2](https://github.com/FlagOpen/FlagEmbedding/releases/tag/v1.4.2) | 2026-08-24 | stable | | [v1.4.1](https://github.com/FlagOpen/FlagEmbedding/releases/tag/v1.4.1) | 2026-08-23 | stable | | [v1.4.0](https://github.com/FlagOpen/FlagEmbedding/releases/tag/v1.4.0) | 2026-04-22 | stable | | [v1.3.5](https://github.com/FlagOpen/FlagEmbedding/releases/tag/v1.3.5) | 2025-05-28 | stable | | [v1.3.4](https://github.com/FlagOpen/FlagEmbedding/releases/tag/v1.3.4) | 2025-02-07 | stable | | [v1.3.2-BGE-Update](https://github.com/FlagOpen/FlagEmbedding/releases/tag/v1.3.2-BGE-Update) | 2024-10-31 | stable | | [BGE-M3&Beacon](https://github.com/FlagOpen/FlagEmbedding/releases/tag/BGE-M3%26Beacon) | 2024-02-02 | stable | | [lm-cocktail](https://github.com/FlagOpen/FlagEmbedding/releases/tag/lm-cocktail) | 2023-11-24 | stable | | [1.1](https://github.com/FlagOpen/FlagEmbedding/releases/tag/1.1) | 2023-09-28 | stable | ## Security & compliance Known vulnerabilities: 0 (0 in the last 12 months) ([source](https://advisories.ecosyste.ms/api/v1/advisories?ecosystem=pypi&package_name=flagembedding&per_page=100)). A count reflects scale and disclosure, not quality. ## Facts Every value below carries its source and our confidence. Facts are re-crawled on a freshness schedule. ### pricing | Attribute | Value | Source | Retrieved | Confidence | |---|---|---|---|---| | pricing.model | commercial | [link](https://github.com/FlagOpen/FlagEmbedding) | 2026-08-26 | 48% (low) | | pricing.free_tier | yes | [link](https://github.com/pricing) | 2026-08-21 | 60% (medium) | | pricing.price_level | free | [link](https://github.com/pricing) | 2026-08-21 | 60% (medium) | | pricing.transparent | yes | [link](https://github.com/pricing) | 2026-08-21 | 60% (medium) | ### activity | Attribute | Value | Source | Retrieved | Confidence | |---|---|---|---|---| | activity.commits_last_30d | 13 | [link](https://github.com/FlagOpen/FlagEmbedding/pulse) | 2026-08-26 | 65% (medium) | ### adoption | Attribute | Value | Source | Retrieved | Confidence | |---|---|---|---|---| | adoption.github_stars | 12,086 | [link](https://github.com/FlagOpen/FlagEmbedding) | 2026-08-26 | 90% (high) | | adoption.dependent_repos | 1 | [link](https://packages.ecosyste.ms/api/v1/packages/lookup?repository_url=https%3A%2F%2Fgithub.com%2FFlagOpen%2FFlagEmbedding) | 2026-08-26 | 85% (high) | ### language | Attribute | Value | Source | Retrieved | Confidence | |---|---|---|---|---| | language.primary | Python | [link](https://github.com/FlagOpen/FlagEmbedding) | 2026-08-26 | 90% (high) | ### license | Attribute | Value | Source | Retrieved | Confidence | |---|---|---|---|---| | license.spdx | MIT | [link](https://github.com/FlagOpen/FlagEmbedding) | 2026-08-26 | 95% (high) | ### release | Attribute | Value | Source | Retrieved | Confidence | |---|---|---|---|---| | release.cadence_days | 104 | [link](https://github.com/FlagOpen/FlagEmbedding/releases) | 2026-08-26 | 70% (medium) | ### security | Attribute | Value | Source | Retrieved | Confidence | |---|---|---|---|---| | security.vulnerabilities | `{"count":0,"source":"https://advisories.ecosyste.ms/api/v1/advisories?ecosystem=pypi&package_name=flagembedding&per_page=100","last_12m":0,"max_severity":null}` | [link](https://advisories.ecosyste.ms/api/v1/advisories?ecosystem=pypi&package_name=flagembedding&per_page=100) | 2026-08-26 | 90% (high) | --- *Source: Vioscale (https://www.vioscale.ai/software/baai-flagembedding). Independent, evidence-based software intelligence. Cite the canonical URI.*