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Update Octoverse to README (#10859)
### Type of change - [x] Documentation Update
This commit is contained in:
Yingfeng
38
README_id.md
38
README_id.md
@ -43,7 +43,13 @@
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<a href="https://demo.ragflow.io">Demo</a>
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</h4>
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#
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<div align="center" style="margin-top:20px;margin-bottom:20px;">
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<img src="https://raw.githubusercontent.com/infiniflow/ragflow-docs/refs/heads/image/image/ragflow-octoverse.png" width="1200"/>
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</div>
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<div align="center">
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<a href="https://trendshift.io/repositories/9064" target="_blank"><img src="https://trendshift.io/api/badge/repositories/9064" alt="infiniflow%2Fragflow | Trendshift" style="width: 250px; height: 55px;" width="250" height="55"/></a>
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</div>
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<details open>
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<summary><b>📕 Daftar Isi </b> </summary>
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@ -169,13 +175,12 @@ Coba demo kami di [https://demo.ragflow.io](https://demo.ragflow.io).
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> ```bash
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> vm.max_map_count=262144
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> ```
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>
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2. Clone repositori:
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```bash
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$ git clone https://github.com/infiniflow/ragflow.git
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```
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3. Bangun image Docker pre-built dan jalankan server:
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> [!CAUTION]
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@ -184,7 +189,7 @@ Coba demo kami di [https://demo.ragflow.io](https://demo.ragflow.io).
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> Perintah di bawah ini mengunduh edisi v0.21.1 dari gambar Docker RAGFlow. Silakan merujuk ke tabel berikut untuk deskripsi berbagai edisi RAGFlow. Untuk mengunduh edisi RAGFlow yang berbeda dari v0.21.1, perbarui variabel RAGFLOW_IMAGE di docker/.env sebelum menggunakan docker compose untuk memulai server.
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```bash
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```bash
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$ cd ragflow/docker
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# Use CPU for embedding and DeepDoc tasks:
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$ docker compose -f docker-compose.yml up -d
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@ -192,12 +197,12 @@ Coba demo kami di [https://demo.ragflow.io](https://demo.ragflow.io).
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# To use GPU to accelerate embedding and DeepDoc tasks:
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# sed -i '1i DEVICE=gpu' .env
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# docker compose -f docker-compose.yml up -d
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```
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```
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| RAGFlow image tag | Image size (GB) | Has embedding models? | Stable? |
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| ----------------- | --------------- | --------------------- | ------------------------ |
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| v0.21.1 | ≈9 | ✔️ | Stable release |
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| v0.21.1-slim | ≈2 | ❌ | Stable release |
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| RAGFlow image tag | Image size (GB) | Has embedding models? | Stable? |
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| ----------------- | --------------- | --------------------- | -------------------------- |
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| v0.21.1 | ≈9 | ✔️ | Stable release |
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| v0.21.1-slim | ≈2 | ❌ | Stable release |
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| nightly | ≈2 | ❌ | _Unstable_ nightly build |
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> Catatan: Mulai dari `v0.22.0`, kami hanya menyediakan edisi slim dan tidak lagi menambahkan akhiran **-slim** pada tag image.
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@ -223,14 +228,17 @@ Coba demo kami di [https://demo.ragflow.io](https://demo.ragflow.io).
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> Jika Anda melewatkan langkah ini dan langsung login ke RAGFlow, browser Anda mungkin menampilkan error `network anormal`
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> karena RAGFlow mungkin belum sepenuhnya siap.
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>
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2. Buka browser web Anda, masukkan alamat IP server Anda, dan login ke RAGFlow.
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> Dengan pengaturan default, Anda hanya perlu memasukkan `http://IP_DEVICE_ANDA` (**tanpa** nomor port) karena
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> port HTTP default `80` bisa dihilangkan saat menggunakan konfigurasi default.
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>
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3. Dalam [service_conf.yaml.template](./docker/service_conf.yaml.template), pilih LLM factory yang diinginkan di `user_default_llm` dan perbarui
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bidang `API_KEY` dengan kunci API yang sesuai.
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> Lihat [llm_api_key_setup](https://ragflow.io/docs/dev/llm_api_key_setup) untuk informasi lebih lanjut.
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>
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_Sistem telah siap digunakan!_
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@ -269,7 +277,6 @@ docker build --platform linux/amd64 -f Dockerfile -t infiniflow/ragflow:nightly
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```bash
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pipx install uv pre-commit
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```
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2. Clone kode sumber dan instal dependensi Python:
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```bash
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@ -279,7 +286,6 @@ docker build --platform linux/amd64 -f Dockerfile -t infiniflow/ragflow:nightly
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uv run download_deps.py
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pre-commit install
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```
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3. Jalankan aplikasi yang diperlukan (MinIO, Elasticsearch, Redis, dan MySQL) menggunakan Docker Compose:
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```bash
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@ -291,13 +297,11 @@ docker build --platform linux/amd64 -f Dockerfile -t infiniflow/ragflow:nightly
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```
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127.0.0.1 es01 infinity mysql minio redis sandbox-executor-manager
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```
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4. Jika Anda tidak dapat mengakses HuggingFace, atur variabel lingkungan `HF_ENDPOINT` untuk menggunakan situs mirror:
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```bash
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export HF_ENDPOINT=https://hf-mirror.com
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```
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5. Jika sistem operasi Anda tidak memiliki jemalloc, instal sebagai berikut:
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```bash
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@ -308,7 +312,6 @@ docker build --platform linux/amd64 -f Dockerfile -t infiniflow/ragflow:nightly
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# mac
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sudo brew install jemalloc
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```
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6. Jalankan aplikasi backend:
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```bash
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@ -316,14 +319,12 @@ docker build --platform linux/amd64 -f Dockerfile -t infiniflow/ragflow:nightly
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export PYTHONPATH=$(pwd)
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bash docker/launch_backend_service.sh
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```
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7. Instal dependensi frontend:
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```bash
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cd web
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npm install
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```
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8. Jalankan aplikasi frontend:
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```bash
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@ -333,15 +334,12 @@ docker build --platform linux/amd64 -f Dockerfile -t infiniflow/ragflow:nightly
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_Output berikut menandakan bahwa sistem berhasil diluncurkan:_
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9. Hentikan layanan front-end dan back-end RAGFlow setelah pengembangan selesai:
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```bash
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pkill -f "ragflow_server.py|task_executor.py"
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```
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## 📚 Dokumentasi
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- [Quickstart](https://ragflow.io/docs/dev/)
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