{"data":{"slug":"llm-tools-embedjs","name":"embedJs","tagline":"A NodeJS RAG framework for working with LLMs and embeddings","github_url":"https://github.com/llm-tools/embedJs","owner":"llm-tools","repo":"embedJs","owner_avatar_url":"https://avatars.githubusercontent.com/u/138303766?v=4","primary_language":"TypeScript","stars":602,"forks":76,"topics":["ai","chatgpt","claude","cohere","embedding","embeddings","gpt","gpt-4","gpt-4o","huggingface","large-language-models","llm","mistral","ollama","openai","pinecone","rag","vector-database","vertex-ai"],"archived":false,"github_pushed_at":"2026-06-26T13:23:18+00:00","maintenance_label":"Steady","stars_delta_30d":-2,"url":"https://www.graphcanon.com/tools/llm-tools-embedjs","markdown_url":"https://www.graphcanon.com/tools/llm-tools-embedjs.md","api_url":"https://www.graphcanon.com/api/graphcanon/tools/llm-tools-embedjs","graph_url":"https://www.graphcanon.com/api/graphcanon/graph?tool=llm-tools-embedjs","description":"A NodeJS RAG framework to easily work with LLMs and embeddings","homepage_url":"https://llm-tools.mintlify.app/get-started/introduction","license":"Apache-2.0","open_issues":18,"watchers":8,"ai_summary":"EmbedJs is developed in TypeScript to facilitate the integration of large language models and embedding technologies within NodeJS applications.","readme_excerpt":"

\n \"EmbedJs\n

\n\n

\n \"License\"\n \"NPM\n

\n\n
\n\n## What is EmbedJs?\n\nEmbedJs is an Open Source Framework for personalizing LLM responses. An ultimate toolkit for building powerful Retrieval-Augmented Generation (RAG) and Large Language Model (LLM) applications with ease in Node.js.\n\nIt segments data into manageable chunks, generates relevant embeddings, and stores them in a vector database for optimized retrieval. It enables users to extract contextual information, find precise answers, or engage in interactive chat conversations, all tailored to their own data.\n\n## 📖 Documentation\n\nComprehensive guides and API documentation are available to help you get the most out of EmbedJs:\n\n- [Introduction](https://llm-tools.mintlify.app/get-started/introduction#what-is-embedjs)\n- [Getting Started](https://llm-tools.mintlify.app/get-started/quickstart)\n- [Supported data types](https://llm-tools.mintlify.app/components/data-sources/overview)\n- [Examples](https://llm-tools.mintlify.app/examples)\n\n## 🌐 Contributing\n\nContributions are welcome! Please check out the issues on the repository, and feel free to open a pull request.\nFor more information, please see the [contributing guidelines](CONTRIBUTING.md).\n\n\n \n","github_created_at":"2023-06-29T19:13:16+00:00","created_at":"2026-07-11T11:27:53.153159+00:00","updated_at":"2026-09-20T06:08:10.151297+00:00","categories":[{"slug":"data-retrieval","name":"Data & Retrieval","url":"https://www.graphcanon.com/categories/data-retrieval","markdown_url":"https://www.graphcanon.com/categories/data-retrieval.md","api_url":"https://www.graphcanon.com/api/graphcanon/categories/data-retrieval"},{"slug":"llm-frameworks","name":"LLM Frameworks","url":"https://www.graphcanon.com/categories/llm-frameworks","markdown_url":"https://www.graphcanon.com/categories/llm-frameworks.md","api_url":"https://www.graphcanon.com/api/graphcanon/categories/llm-frameworks"}],"tags":[{"slug":"ai","name":"ai"},{"slug":"chatgpt","name":"chatgpt"},{"slug":"claude","name":"claude"},{"slug":"cohere","name":"cohere"},{"slug":"embedding","name":"embedding"},{"slug":"embeddings","name":"embeddings"},{"slug":"gpt","name":"gpt"},{"slug":"gpt-4","name":"gpt-4"}],"trust":{"provenance":{"is_fork":false,"github_id":660332216,"owner_type":"Organization","methodology":"github_public_v1","parent_repo":null,"near_duplicate_slugs":[]},"computed_at":"2026-09-20T06:08:07.959Z","maintenance":{"label":"Steady","score":60,"methodology":"github_public_v1","releases_90d":0,"days_since_push":85,"last_release_at":"2025-11-14T16:43:04Z","stars_delta_30d":-2,"open_issues_delta_30d":0},"security_summary":{"status":"no_lockfile","scanner":null,"low_count":0,"high_count":0,"last_scan_at":"2026-07-11T11:27:54.254Z","medium_count":0,"scan_profile":"none","critical_count":0}},"capability_facts":{"mcp":{"source":"repo_scan","observed_at":"2026-09-20T06:08:09.006Z","server_manifest":false},"scan":{"source":"repo_scan","observed_at":"2026-09-20T06:08:09.006Z"},"languages":{"value":["typescript","javascript"],"source":"github.language+package.json","observed_at":"2026-09-20T06:08:09.006Z"},"license_spdx":{"value":"Apache-2.0","source":"github.license","observed_at":"2026-09-20T06:08:09.006Z"}},"decision_facts":{"hosting":null,"pricing":null,"requirements":{"min_ram_gb":null,"requires_docker":false},"constraints":{"min_ram_gb":null,"requires_docker":false},"when_to_use":["Use EmbedJs when you need a TypeScript-based framework to work with various LLMs such as GPT, Claude, or HuggingFace within a NodeJS environment.","Consider EmbedJs if your project requires easy integration with vector databases like Pinecone to manage embeddings effectively."],"when_not_to_use":["Avoid using EmbedJs if you prefer frameworks in languages other than TypeScript or work primarily outside the NodeJS ecosystem.","Do not use EmbedJs if comprehensive support for only specific LLMs such as Mistral or Ollama is required, as its scope spans multiple popular models, potentially complicating specialized setups."],"source":"enrich:decision_facts","observed_at":"2026-07-14T20:50:31.483Z"},"constraint_facets":{"min_ram_gb":null,"requires_docker":false},"decision_summary":[{"label":"Adopt for","value":"EmbedJs is a NodeJS RAG framework in TypeScript for integrating large language models and embeddings."}]}}