Comparison
embedbase vs GPTCache
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 GPTCache if gPTCache is a semantic caching solution for large language models, designed to integrate with LangChain and llama_index, aimed at improving efficiency by reusing previous computations and responses.
Markdown twin · embedbase alternatives · GPTCache alternatives
GraphCanon updated Sep 20, 2026
5views this month
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Trust & integrity
| Signal | embedbase | GPTCache |
|---|---|---|
| Maintenance | Dormant (661d since push) As of Sep 20, 2026 · github_public_v1 | Dormant (433d since push) As of Sep 18, 2026 · github_public_v1 |
| Provenance | Not a fork · Organization account As of Sep 20, 2026 · github_public_v1 | Not a fork · Organization account As of Sep 18, 2026 · github_public_v1 |
| OSV dependency advisories | No lockfile (source not queried) As of Jul 11, 2026 · osv@v1 | No published findings from this source as of 2026-09-18 As of Sep 18, 2026 · osv@v1 |
| deps.dev advisories | Not queried deps.dev@v1 | Not queried deps.dev@v1 |
| OpenSSF Scorecard | Not queried openssf-scorecard@v1 | Not queried openssf-scorecard@v1 |
Tagline
- embedbase
- A dead-simple API to build LLM-powered apps
- GPTCache
- Semantic cache for LLMs, integrated with LangChain and llama_index.
Stars
- embedbase
- 523
- GPTCache
- 8.2k
Forks
- embedbase
- 53
- GPTCache
- 595
Open issues
- embedbase
- 35
- GPTCache
- 99
Language
- embedbase
- TypeScript
- GPTCache
- Python
Adopt for
- embedbase
- 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.
- GPTCache
- GPTCache is a semantic caching solution for large language models, designed to integrate with LangChain and llama_index, aimed at improving efficiency by reusing previous computations and responses.
Persona
- embedbase
- -
- GPTCache
- -
Runtime
- embedbase
- -
- GPTCache
- -
License
- embedbase
- MIT
- GPTCache
- MIT
Last pushed
- embedbase
- Nov 27, 2024
- GPTCache
- Jul 11, 2025
Categories
- embedbase
- Data & Retrieval, Vector Databases
- GPTCache
- Data & Retrieval, LLM Frameworks
Trust and health
Days since push
- embedbase
- 661d
- GPTCache
- 433d
Open issues (now)
- embedbase
- 35
- GPTCache
- 99
Stars delta
- embedbase
- -1 (30d)
- GPTCache
- +70 (30d)
Open issues delta
- embedbase
- 0 (30d)
- GPTCache
- +5 (30d)
OSV dependency advisories
- embedbase
- No lockfile (source not queried)
- GPTCache
- No published findings from this source as of 2026-09-18
Full report
- embedbase
- Trust report
- GPTCache
- Trust report
Choose embedbase if…
- embedbase is primarily TypeScript; GPTCache is Python.
- Tags unique to embedbase: ai, artificial-intelligence, embeddings, machine-learning.
- Also covers Vector Databases.
- * Use Embedbase if you require direct integration capabilities specifically designed for embeddings and vector databases, like pgvector or Supabase.
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.
Choose GPTCache if…
- GPTCache is primarily Python; embedbase is TypeScript.
- Pricing: GPTCache is available under the MIT license, which is free to use for both personal and commercial projects. However, additional features may require the installation of specific libraries, which may,.
- Requirements: Min 2 GB RAM; Ensure Python version is 3.8.1 or higher.; Additional libraries are automatically installed as needed for extended functionality..
- Tags unique to GPTCache: aigc, autogpt, babyagi, chatbot.
- Also covers LLM Frameworks.
- When you are working with LangChain or llama_index and want to enhance the efficiency of your large language models by caching responses semantically.
When NOT to use GPTCache
- If your project does not involve LangChain or llama_index, as GPTCache's integration benefits are specific to these frameworks.
- When you need a caching solution that supports a wide range of frameworks beyond LangChain and llama_index, as GPTCache's integration is limited to these specific tools.
Explore
Sources
Every stat on this page traces to a dated GitHub sync, license file, enrichment field, or trust scan.
- GitHub stars (different-ai/embedbase) · observed Sep 20, 2026
- GitHub forks (different-ai/embedbase) · observed Sep 20, 2026
- Last push (different-ai/embedbase) · observed Nov 27, 2024
- License file (MIT) · observed Sep 20, 2026
- Decision facts (enrichment) · observed Jul 12, 2026
- Trust scan (lockfile / OSV) · observed Jul 11, 2026
- GitHub stars (zilliztech/GPTCache) · observed Sep 20, 2026
- GitHub forks (zilliztech/GPTCache) · observed Sep 20, 2026
- Last push (zilliztech/GPTCache) · observed Jul 11, 2025
- License file (MIT) · observed Sep 20, 2026
- Decision facts (enrichment) · observed Sep 18, 2026
- Trust scan (lockfile / OSV) · observed Sep 18, 2026
GitHub stars on cards: embedbase 523 · GPTCache 8.2k (synced Sep 20, 2026).
Common questions
- What is the difference between embedbase and GPTCache?
- embedbase: A dead-simple API to build LLM-powered apps. GPTCache: Semantic cache for LLMs, integrated with LangChain and llama_index.. See the comparison table for live GitHub stats and shared categories.
- When should I choose embedbase over GPTCache?
- Choose embedbase over GPTCache when embedbase is primarily TypeScript; GPTCache is Python; Tags unique to embedbase: ai, artificial-intelligence, embeddings, machine-learning; Also covers Vector Databases; * Use Embedbase if you require direct integration capabilities specifically designed for embeddings and vector databases, like pgvector or Supabase.
- When should I choose GPTCache over embedbase?
- Choose GPTCache over embedbase when GPTCache is primarily Python; embedbase is TypeScript; Pricing: GPTCache is available under the MIT license, which is free to use for both personal and commercial projects. However, additional features may require the installation of specific libraries, which may,; Requirements: Min 2 GB RAM; Ensure Python version is 3.8.1 or higher.; Additional libraries are automatically installed as needed for extended functionality.; Tags unique to GPTCache: aigc, autogpt, babyagi, chatbot; Also covers LLM Frameworks; When you are working with LangChain or llama_index and want to enhance the efficiency of your large language models by caching responses semantically.
- 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 GPTCache?
- If your project does not involve LangChain or llama_index, as GPTCache's integration benefits are specific to these frameworks. When you need a caching solution that supports a wide range of frameworks beyond LangChain and llama_index, as GPTCache's integration is limited to these specific tools.
- Is embedbase or GPTCache more popular on GitHub?
- GPTCache has more GitHub stars (8,194 vs 523). Stars measure visibility, not whether either tool fits your constraints.
- Are embedbase and GPTCache open source?
- Yes - both are open-source projects on GitHub (embedbase: MIT, GPTCache: MIT).
- Where can I find alternatives to embedbase or GPTCache?
- GraphCanon lists graph-backed alternatives at embedbase alternatives and GPTCache alternatives (embedbase markdown twin, GPTCache markdown twin), 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 mirrors this page for agents and LLM crawlers, with the same stats table and FAQ answers.
- Which is better maintained, embedbase or GPTCache?
- embedbase: Dormant. GPTCache: Dormant. 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 GPTCache?
- GraphCanon publishes per-repo trust reports with dated maintenance, provenance, and scan summaries: embedbase trust report; GPTCache trust report.