--- title: "embedbase vs vald" type: "comparison" canonical_url: "https://www.graphcanon.com/compare/different-ai-embedbase-vs-vdaas-vald" tools: ["different-ai-embedbase", "vdaas-vald"] --- # embedbase vs vald *GraphCanon updated Aug 22, 2026* ## Verdict Pick embedbase if embedbase is a TypeScript-based API designed to facilitate the creation of Large Language Model (LLM) powered applications via integrations with embeddings and vector databases; pick vald if vald is written in Go, licensed under Apache-2.0, for highly scalable vector search tasks on Kubernetes. [embedbase](https://docs.embedbase.xyz) reports 523 GitHub stars, 54 forks, and 35 open issues, last pushed Nov 27, 2024. [vald](https://vald.vdaas.org) has 1.7k stars, 95 forks, and 146 open issues, last pushed Aug 2, 2026. Figures are from public GitHub metadata via [embedbase's repository](https://github.com/different-ai/embedbase) and [vald's repository](https://github.com/vdaas/vald). | | [embedbase](/tools/different-ai-embedbase.md) | [vald](/tools/vdaas-vald.md) | | --- | --- | --- | | Tagline | A dead-simple API to build LLM-powered apps | A Highly Scalable Distributed Vector Search Engine | | Stars | 523 | 1,714 | | Forks | 54 | 95 | | Open issues | 35 | 146 | | Language | TypeScript | Go | | Adopt for | Embedbase is a TypeScript-based API designed to facilitate the creation of Large Language Model (LLM) powered applications via integrations with embeddings and vector databases. | Vald is written in Go, licensed under Apache-2.0, for highly scalable vector search tasks on Kubernetes. | | Persona | - | - | | Runtime | - | - | | License | MIT | Apache-2.0 | | Categories | Data & Retrieval, Vector Databases | Data & Retrieval, Vector Databases | ## Trust and health _Sourced signals - not a safety guarantee. No winner column._ | | [embedbase](/tools/different-ai-embedbase.md) | [vald](/tools/vdaas-vald.md) | | --- | --- | --- | | Maintenance | Dormant (18%) | Very active (96%) | | Days since push | 632d | 0d | | Open issues (now) | 35 | 146 | | Stars delta | -1 (30d) | Unknown | | Open issues delta | 0 (30d) | Unknown | | Full report | [trust report](/tools/different-ai-embedbase/trust.md) | [trust report](/tools/vdaas-vald/trust.md) | ## Decision facts: embedbase - **Adopt for:** Embedbase is a TypeScript-based API designed to facilitate the creation of Large Language Model (LLM) powered applications via integrations with embeddings and vector databases. ## Decision facts: vald - **Adopt for:** Vald is written in Go, licensed under Apache-2.0, for highly scalable vector search tasks on Kubernetes. ## Choose when ### Choose embedbase if… - embedbase is primarily TypeScript; vald is Go. - License: embedbase is MIT, vald is Apache-2.0. - Tags unique to embedbase: ai, artificial-intelligence, chatgpt, embeddings. - * Use Embedbase if you require direct integration capabilities specifically designed for embeddings and vector databases, like pgvector or Supabase. ### Choose vald if… - vald is primarily Go; embedbase is TypeScript. - License: vald is Apache-2.0, embedbase is MIT. - Tags unique to vald: anng, approximate-nearest-neighbor-search, cloud-native, distributed-systems. - Requires high-performance searches in a distributed system ## When NOT to use embedbase - * Avoid using Embedbase if your application's technology stack cannot effectively integrate TypeScript, as its primary language support is in this framework and not others like Python. - * Do not use it when you need extensive customization options for the vector database configurations beyond what pgvector or Supabase offers. ## When NOT to use vald - Need lower scalability vector search solutions - Cannot use Kubernetes 1.19 or above - Do not have AVX2 support in the system environment ## Common questions ### What is the difference between embedbase and vald? embedbase: A dead-simple API to build LLM-powered apps. vald: A Highly Scalable Distributed Vector Search Engine. See the comparison table for live GitHub stats and shared categories. ### When should I choose embedbase over vald? Choose embedbase over vald when embedbase is primarily TypeScript; vald is Go; License: embedbase is MIT, vald is Apache-2.0; Tags unique to embedbase: ai, artificial-intelligence, chatgpt, embeddings; * Use Embedbase if you require direct integration capabilities specifically designed for embeddings and vector databases, like pgvector or Supabase. ### When should I choose vald over embedbase? Choose vald over embedbase when vald is primarily Go; embedbase is TypeScript; License: vald is Apache-2.0, embedbase is MIT; Tags unique to vald: anng, approximate-nearest-neighbor-search, cloud-native, distributed-systems; Requires high-performance searches in a distributed system. ### When should I avoid embedbase? * Avoid using Embedbase if your application's technology stack cannot effectively integrate TypeScript, as its primary language support is in this framework and not others like Python. * Do not use it when you need extensive customization options for the vector database configurations beyond what pgvector or Supabase offers. ### When should I avoid vald? Need lower scalability vector search solutions Cannot use Kubernetes 1.19 or above Do not have AVX2 support in the system environment ### Is embedbase or vald more popular on GitHub? vald has more GitHub stars (1,714 vs 523). Stars measure visibility, not whether either tool fits your constraints. ### Are embedbase and vald open source? Yes - both are open-source projects on GitHub (embedbase: MIT, vald: Apache-2.0). ### Where can I find alternatives to embedbase or vald? GraphCanon lists graph-backed alternatives at [embedbase alternatives](/tools/different-ai-embedbase/alternatives) and [vald alternatives](/tools/vdaas-vald/alternatives) ([embedbase markdown twin](/tools/different-ai-embedbase/alternatives.md), [vald markdown twin](/tools/vdaas-vald/alternatives.md)), ranked by typed relationship edges rather than popularity votes. ### Is there a machine-readable version of this comparison? Yes. The markdown twin at [this comparison](/compare/different-ai-embedbase-vs-vdaas-vald.md) mirrors this page for agents and LLM crawlers, with the same stats table and FAQ answers. ### Which is better maintained, embedbase or vald? embedbase: Dormant. vald: Very active. Compare maintenance labels, days since push, and release cadence in the trust section below - stars alone do not measure maintenance. ### Where are the full trust reports for embedbase and vald? GraphCanon publishes per-repo trust reports with dated maintenance, provenance, and scan summaries: [embedbase trust report](/tools/different-ai-embedbase/trust); [vald trust report](/tools/vdaas-vald/trust). --- **Machine-readable endpoints** - JSON: [`/api/graphcanon/graph?tool=different-ai-embedbase`](/api/graphcanon/graph?tool=different-ai-embedbase) - LLM index: [/llms.txt](/llms.txt) - Full corpus: [/llms-full.txt](/llms-full.txt) _GraphCanon - The knowledge graph for AI development. https://www.graphcanon.com/_