Do these 3 things before closing this tab:
1Fix the driver behind crashes, sound loss and screen glitches2Clear out junk files and repair common Windows errors3Scan for outdated or missing drivers - takes under a minuteKeep your files or project documentation in a canonical source outside the assistant, synchronize that source into a reusable retrieval-augmented generation (RAG) knowledge base, and verify that updated passages can be retrieved. Use live web search instead for public facts that need to be current at answer time but do not need to become part of a maintained personal collection.
Why a local assistant’s knowledge can go stale
A local model’s built-in training knowledge does not automatically include your private files or later public changes. As Open WebUI puts it, “Models only know what was in their training data.” To answer from your documents, the application must ingest them into a separate source and make relevant content available to the model when it responds. Open WebUI’s Essentials documentation describes these distinctions.
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With RAG, the application searches stored material for relevant passages and places those passages into the prompt. The knowledge base is therefore a searchable copy, not a substitute for the authoritative files. Keep policies, notes, manuals, or project documentation in their normal folder or source system, then update the copy the assistant searches. Open WebUI’s RAG documentation explains the retrieval process.
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| Need | Use | What to expect |
|---|---|---|
| Reusable answers from your own documents | A maintained RAG knowledge base | The source material must be ingested; retrieval supplies relevant passages when answering. |
| Exact wording from a particular document | Full Context, where available | The entire document is supplied rather than selected passages, which can use a large share of the model’s context window. |
| Current public information that need not be stored | Live web search | The model can look up web results during a response rather than relying on a previously maintained personal collection. |
The distinction is practical: sync a knowledge base when you want a reusable, searchable record of your material; use web search when the answer depends on what is available publicly now. Open WebUI’s RAG documentation discusses document retrieval and context, while its Essentials documentation covers web search.
#1 Best Overall
- EVOLUTION AMD RYZEN AI MAX+ 395 MINI PC - GMKtec EVO-X2 is the next evolution in AI mini PC Ryzen Strix Halo series. Thanks to AMD Simultaneous Multithreading (SMT) the core-count is effectively doubled, to 32 threads. Ryzen AI Max+ 395 has 64 MB of L3 cache and can boost up to 5.1 GHz, depending on the workload. The Ryzen AI Max+ 395 is currently rated as the "most powerful x86 APU" on the market for AI computing.
- AI NPU with XDNA 2 ARCHITECTURE - Powered by 16 “Zen 5” CPU cores, 50+ peak AI TOPS XDNA 2 NPU and a truly massive integrated GPU driven by 40 AMD RDNA 3.5 CUs, the Ryzen AI MAX+ 395 is a transformative upgrade and delivers a significant performance boost over the competition. The Ryzen AI Max+ 395 excels in consumer AI workloads like the llama.cpp-powered application: LM Studio. Shaping up to be the must-have app for client LLM workloads, LM Studio allows users to locally run the latest language model without any technical knowledge required and unleash their creativity and productivity.
- AMD RADEON 8090S iGPU GAMING PC - The AMD Radeon RX 8060S offers all 40 CUs with up to 2.9 GHz graphics clock and uses the new RDNA 3.5 architecture. The powerful iGPU is positioned between an RTX 4060 and 4070 laptop GPU and therefore enables gaming in FHD at maximum details in most demanding games. The 8060S can also utilize the full 128GB pool, which is perfect for running LLMs such as Deepseek 70B Q8, which runs comfortably on this machine.
- EIGHT CHANNEL LPDDR5X - LPDDR5X is a new ground breaking memory small form factor installed on-board. With blazing speeds up to to 8000MT/s, it runs 1.5x faster than the DDR5 SODIMMs; 90% better performance over DDR5 SODIMMs in video conferencing and photo editing; 30% better performance in productivity apps; 12% better performance in digital content workloads.
- QUAD SCREEN 8K DISPLAY SUPPORT - EVO-X2 AI Mini PC support 4-screen 4K/8K output via HDMI 2.1 (8K@60Hz), DisplayPort 1.4 (4K@60Hz), and dual USB 4 40Gbps Transfer speed (supporting PD3.0/DP1.4/DATA). Ideal for gaming, video editing, and multitasking, it provides expansive and crisp multi-display support.
Set up a reliable update workflow in Open WebUI
- Maintain the canonical files. Keep the current version of each document in its normal folder or source system, rather than treating the assistant’s index as the only copy.
- Choose a retrieval mode. Use focused RAG to retrieve relevant pieces from a larger collection. Use Full Context when supplying the complete document is useful and its size fits the available context.
- Connect updates to the source. Open WebUI documents incremental sync for local directories. It compares file paths and hashes and processes additions, modifications, and deletions. For remote sources or synchronization scheduled or triggered by a push, Open WebUI points to its Knowledge Base Sync companion tool. See Knowledge Bases and Document Chat for the documented options.
- Allow ingestion to finish. API uploads are processed asynchronously. Check the document’s processing status before relying on it in an answer.
- Test the changed content. Ask a specific question whose answer appears in the updated document, then inspect the retrieved passage or source reference. If retrieval is empty or outdated, check that processing completed and that the model can access the knowledge base.
One configuration detail can affect what happens at answer time: with native function calling, Open WebUI may offer an attached knowledge base through knowledge tools for the model to query instead of automatically inserting retrieved material. A knowledge base being attached does not by itself prove that a particular answer used it. The behavior and API processing details are documented in Open WebUI’s knowledge-base guide.
Know when to re-index and when to re-upload
These operations address different stages of the pipeline. Re-indexing rebuilds the searchable vector representation from text already extracted during upload. Re-uploading runs the source file through extraction again. Use the operation that matches what changed.
Rank #2
- Built for Local AI Development: AMD Ryzen AI Halo is designed for local AI development and inference, featuring 128GB unified memory and support for up to 200B parameter models to build and run intensive AI workloads locally.
- 128GB Unified Memory: Features 128GB LPDDR5x unified memory at 8000 MT/s with 256 GB/s memory bandwidth, providing a shared memory pool across the CPU, GPU, and NPU to support larger AI models.
- AMD Ryzen AI Max+ 395 Processor: Features 16 cores, 32 threads, and Zen 5 architecture, paired with AMD Radeon 8060S integrated graphics featuring 40 RDNA 3.5 compute units and an AMD XDNA 2 NPU with up to 50 TOPS.
- Linux AI Developer Platform: Purpose-built for Linux-based AI development with full AMD ROCm software support and preloaded tools, models, and workflows optimized for local AI development.
- Compact, Connected Design: Includes a 2TB M.2 SSD, 10GbE LAN, Wi-Fi 7, Bluetooth 5.4, USB-C connectivity, and HDMI 2.1b.
| What changed | What to do | Important detail |
|---|---|---|
| Embedding model | Re-index knowledge-base content | Different embedding models produce vectors in different spaces, so the previous vectors are not a suitable index for the new model. |
| Extraction engine or parsing setting | Re-upload the affected source files | Re-indexing reuses text extracted earlier; it does not parse original files again. |
| Chunk size only | Re-indexing is not strictly required, though it can make retrieval more consistent | Open WebUI says re-indexing applies current chunk settings. |
| File uploaded only into a chat | Do not expect knowledge-base re-indexing to include it | Chat-only uploads are outside the knowledge-base re-index operation. |
Open WebUI’s RAG documentation says re-indexing deletes and rebuilds the knowledge-base vector collection, applies current chunk settings and embeddings, and rebuilds per-file collections. Because it does not re-parse source files, a parsing change requires re-uploading files whose extracted text should change.
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Check retrieval and context when answers still seem stale
- Confirm ingestion completed. A newly uploaded file may not be queryable while asynchronous processing is still underway.
- Check whether the knowledge base is actually being queried. With native function calling, the model may need to call a knowledge tool rather than receive content automatically.
- Inspect the source passage. A citation or retrieved passage helps distinguish a stale source copy from an answer that did not use the expected material.
- Consider context limits. Retrieved passages still need to fit in the model’s context. Open WebUI’s RAG page gives an example in which Ollama may choose a 4,096-token default context length on GPUs with less than 24 GiB of VRAM. This is a configuration-dependent example, not a universal limit for local models.
For privacy-sensitive workflows, check where embeddings are generated. Open WebUI documents local embedding options as well as external embedding APIs in its Essentials documentation; local model execution alone does not establish that every service in a retrieval pipeline is local.
Quick Recap
Rank #4
- 【Leading AI Mini Workstation】MINISFORUM AI MS-S1 Max Workstation comes with AMD Ryzen AI Max+ 395 processor, which uses AMD's latest generation Zen 5 architecture. It has 16 Cores and 32 Threads, the boost clock is up to 5.1GHz. The overall processor performance is up to 126 TOPS, and the NPU performance reaches up to 50 TOPS. AMD Ryzen AI enables improved productivity, advanced collaboration, and improved efficiency.
- 【AMD Radeon 8060S Graphics 】The MS-S1 Max Mini PC equipped with AMD Radeon 8060S Graphics which built on the new generation of RDNA 3.5 architecture AMD graphics, it brings ultra-high frame rate experiences and advanced content creation features anywhere and delivers staggering performance. It can handle all your computing and multimedia tasks efficiently.
- 【Five 8K Video Output】This MS-S1 Max Workstation comes with five video outputs, 1x HDMI (8K@60Hz), 2x USB4(40Gbps,Alt DP2.0,PD out 15W) and 2x USB4 V2(80Gbps,Alt DP2.0,PD out 15W) Outputs, which support multiple monitors display at the same time and provide a larger and wider filed of view and improve your work efficiency. It is used in fields that require high-performance computing and graphics processing, including digital signage and securities trading, as well as work that uses CAD, such as engineering design, scientific calculations, animation production, and post-production for movies and television
- 【 Fast and Stable Wire & Wireless Speed】It comes with Two 10G Lan Ports for wired connection and and Wi-Fi 7 / BT5.4 for wireless connection, which increased the network speed greatly and expand its functions and improved performance of computer to a large extent and allows you to use more networks such as software routers (OpenWRT / DD-WRT / Tomato etc.), firewalls, NAT, network isolation etc.
- 【Large Storage & Flexible Expandability】This Workstation equipped with 64GB LPDDR5-8000MHz + 2TB M.2 2280 PCIe4.0 SSD. There is another PCIe4.0 SSD slot available for up to 8TB, these SSD slots are compatible with RAID0 and RAID1, you can store movies, videos, photos, important files easily. What’s more, it also comes with 1x standard PCIex16 slot(PCIe4.0x4) inside.
Rank #3
- EVOLUTION AMD RYZEN AI MAX+ 395 MINI PC - GMKtec EVO-X2 is the next evolution in AI mini PC Ryzen Strix Halo series. Thanks to AMD Simultaneous Multithreading (SMT) the core-count is effectively doubled, to 32 threads. Ryzen AI Max+ 395 has 64 MB of L3 cache and can boost up to 5.1 GHz, depending on the workload. The Ryzen AI Max+ 395 is currently rated as the "most powerful x86 APU" on the market for AI computing.
- AI NPU with XDNA 2 ARCHITECTURE - Powered by 16 “Zen 5” CPU cores, 50+ peak AI TOPS XDNA 2 NPU and a truly massive integrated GPU driven by 40 AMD RDNA 3.5 CUs, the Ryzen AI MAX+ 395 is a transformative upgrade and delivers a significant performance boost over the competition. The Ryzen AI Max+ 395 excels in consumer AI workloads like the llama.cpp-powered application: LM Studio. Shaping up to be the must-have app for client LLM workloads, LM Studio allows users to locally run the latest language model without any technical knowledge required and unleash their creativity and productivity.
- AMD RADEON 8090S iGPU GAMING PC - The AMD Radeon RX 8060S offers all 40 CUs with up to 2.9 GHz graphics clock and uses the new RDNA 3.5 architecture. The powerful iGPU is positioned between an RTX 4060 and 4070 laptop GPU and therefore enables gaming in FHD at maximum details in most demanding games. The 8060S can also utilize the full 64GB pool, which is perfect for running LLMs such as Deepseek 32B, which runs comfortably on this machine.
- EIGHT CHANNEL LPDDR5X - LPDDR5X is a new ground breaking memory small form factor installed on-board. With blazing speeds up to to 8000MT/s, it runs 1.5x faster than the DDR5 SODIMMs; 90% better performance over DDR5 SODIMMs in video conferencing and photo editing; 30% better performance in productivity apps; 4% better performance in digital content workloads.
- QUAD SCREEN 8K DISPLAY SUPPORT - EVO-X2 AI Mini PC support 4-screen 4K/8K output via HDMI 2.1 (8K@60Hz), DisplayPort 1.4 (4K@60Hz), and dual USB 4 40Gbps Transfer speed (supporting PD3.0/DP1.4/DATA). Ideal for gaming, video editing, and multitasking, it provides expansive and crisp multi-display support.
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