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tool for 7-docs to ingest content","homepage":"https://github.com/7-docs/7-docs","keywords":["cli","content","docs","documentation","ingest","kb","markdown","vector","database","embedding","chatgpt","openai","pinecone","supabase","algolia","algoliasearch"],"repository":{"type":"git","url":"git+https://github.com/7-docs/7-docs.git","directory":"packages/cli"},"author":{"name":"Lars Kappert","email":"lars@webpro.nl"},"bugs":{"url":"https://github.com/7-docs/7-docs/issues"},"license":"ISC","readme":"# @7-docs/cli\n\n`7d` is a powerful CLI tool to ingest content and store into a vector database, ready to get queried like you would with\nChatGPT.\n\nUses OpenAI APIs, part of [7-docs][1].\n\n## Impression\n\n### CLI\n\n![Demo of ingest and query][2]\n\n## Content\n\n- [Status][3]\n- [Prerequisites][4]\n- [Installation][5]\n- [Pinecone][6]\n- [Supabase][7]\n- [Ingestion][8]\n  - [Local][9]\n  - [GitHub][10]\n  - [HTTP][11]\n  - [PDF][12]\n\n## Status\n\nThis is still in the early days, but already offers a variety of features:\n\n- Plain text, Markdown and PDF files are supported as input.\n- Ingest from local files, from HTML pages over HTTP, and from GitHub repositories.\n- The OpenAI `text-embedding-ada-002` model is used to create embeddings.\n- [Pinecone][13] and [Supabase][14] are supported for vector storage.\n- The OpenAI `gpt-3.5-turbo` model is used for chat completions from the CLI.\n\nSee the [7-docs overview][1] for more packages and starter kits.\n\n## Prerequisites\n\n- Node.js v16+\n- OpenAI API key\n- Pinecone or Supabase account, plus API keys\n- When ingesting lots of files from GitHub, a GitHub token\n\n## Installation\n\nYou can install 7-docs in two ways:\n\n- [Global][15] to manage knowledge base(s) from the command line.\n- [Local][9] to manage the knowledge base(s) of a repository.\n\n### Global\n\nUse `7d` from anywhere to manage your personal knowledge bases:\n\n```shell\nnpm install --global 7-docs\n```\n\nGet an [OpenAI API key][16] and make it available as en environment variable:\n\n```shell\nexport OPENAI_API_KEY=sk-xxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxx\n```\n\nAlternative storage (in `~/.7d.json`) so it's available in your next session too:\n\n```shell\n7d set OPENAI_API_KEY sk-xxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxx\n```\n\nThis works for the other `export` values shown later as well.\n\n### Local\n\nAdd `7d` to the `devDependencies` of a repository to manage its knowledge base(s):\n\n```shell\nnpm install --save-dev 7-docs\n```\n\nStore the variables you need in a local `.env` file in the root of your project:\n\n```shell\nOPENAI_API_KEY=\"sk-xxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxx\"\n```\n\nFor local installations, use `npx 7d` (over just `7d`).\n\nNow let's choose either [Pinecone][6] or [Supabase][7]!\n\n## Pinecone\n\nMake sure to have a Pinecone account and set `PINECONE_API_KEY`:\n\n```shell\nexport PINECONE_API_KEY=xxxxxxxx-xxxx-xxxx-xxxx-xxxxxxxxxxxx\n```\n\nCreate or select an index:\n\n```shell\n7d pinecone-create-index --index [name] --environment [env]\n```\n\nFind the environment in your [Pinecone Console][17] (e.g. `us-east4-gcp`).\n\nKeep working with this index by setting the `PINECONE_URL` from the [Pinecone Console][17] like so:\n\n```shell\nexport PINECONE_URL=xxxxx-xxxxxxx.svc.us-xxxxx-gcp.pinecone.io\nexport PINECONE_API_KEY=xxxxxxxx-xxxx-xxxx-xxxx-xxxxxxxxxxxx\n```\n\n## Supabase\n\nMake sure to have a Supabase account and set `SUPABASE_URL` and `SUPABASE_API_KEY`:\n\n```shell\nexport SUPABASE_URL=\"https://xxxxxxxxxxxxxxxxxxxx.supabase.co\"\nexport SUPABASE_API_KEY=\"ey...\"\n```\n\nPrint the SQL query to enable [pgvector][18] and create a table (paste the output in the [Supabase web admin][19]):\n\n```shell\n7d supabase-create-table --namespace my-collection\n```\n\n## Ingestion\n\nLet's ingest some text or Markdown files, make sure to adjust the `--files` pattern to match yours:\n\n```shell\n7d ingest --files README.md --files 'docs/**/*.md' --namespace my-collection\n```\n\nNote that ingestion from remote resources ([GitHub][10] and/or [HTTP][11]) has the benefit to link back to the original\nsource when retrieving answers. This is not possible when using local files.\n\n### GitHub\n\nUse `--source github` and file patterns to ingest from a GitHub repo:\n\n```shell\n7d ingest --source github --repo reactjs/react.dev --files 'src/content/reference/react/*.md' --namespace react\n```\n\n![Demo of ingest and query][20]\n\nYou can start without it, but once you start fetching lots of files you'll need to set `GITHUB_TOKEN`:\n\n```shell\nexport GITHUB_TOKEN=\"ghp_xxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxx\"\n```\n\n### HTTP\n\nCrawl content from web pages:\n\n```shell\n7d ingest --source http --url https://en.wikipedia.org/wiki/Butterfly\n```\n\n### PDF\n\n`7d` supports PDF files as well:\n\n```shell\n7d ingest --files ./my-article.pdf\n7d ingest --source github --repo webpro/webpro.nl --files 'content/*.pdf'\n```\n\nWhen you see the `cannot find module \"canvas\"` error, please see [node-canvas#compiling][21].\n\n### Ignore files\n\nTo exclude files from ingestion, use the `--ignore` argument:\n\n```shell\n7d ingest  --files 'docs/**/*.md' --ignore 'folder/*' --ignore 'dir/file.md' --ignore '**/ignore.md'\n```\n\n## Query\n\nNow you can start asking questions about it:\n\n```shell\n7d Can you please give me a summary?\n```\n\n## Other commands\n\nOther convenience flags and commands not mentioned yet.\n\n### `--help`\n\nShows available commands and how they can be used:\n\n```shell\n7d --help\n```\n\n### `openai-list-models`\n\nList available OpenAI models:\n\n```shell\n7d openai-list-models\n```\n\n### `pinecone-clear-namespace`\n\nClear a single namespace from the current Pinecone index:\n\n```shell\n7d pinecone-clear-namespace --namespace my-collection\n```\n\n## Token Usage\n\nThe OpenAI recommendation [text-embedding-ada-002][22] model is used to create embeddings. Ingestion uses some tokens\nwhen ingesting lots of files. Queries use only a few tokens (using the [gpt-3.5-turbo][23] model by default). See the\nconsole for details.\n\n[1]: https://github.com/7-docs\n[2]: ./assets/ingest-and-query.gif\n[3]: #status\n[4]: #prerequisites\n[5]: #installation\n[6]: #pinecone\n[7]: #supabase\n[8]: #ingestion\n[9]: #local\n[10]: #github\n[11]: #http\n[12]: #pdf\n[13]: https://www.pinecone.io\n[14]: https://supabase.com\n[15]: #global\n[16]: https://platform.openai.com/account/api-keys\n[17]: https://app.pinecone.io\n[18]: https://supabase.com/docs/guides/database/extensions/pgvector\n[19]: https://app.supabase.com/projects\n[20]: ./assets/ingest-and-query-2.gif\n[21]: https://github.com/Automattic/node-canvas#compiling\n[22]: https://platform.openai.com/docs/guides/embeddings/what-are-embeddings\n[23]: https://platform.openai.com/docs/guides/chat\n","readmeFilename":"README.md"}