tools-update-cron: sync 2026-08-09 — 37 skill(s) updated
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Hermes Agent
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---
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name: ltx23-kb
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description: "Manage the ltx23_kb Qdrant collection for LTX 2.3 knowledge."
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version: 1.0.0
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author: Hermes Agent
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license: MIT
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platforms: [linux]
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metadata:
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hermes:
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tags: [qdrant, knowledge-base, ltx, video, ltx23]
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related_skills: [ai-brain-kb, qdrant-collection-management, ltx-video-pipeline]
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---
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# LTX 2.3 Knowledge Base — Qdrant Collection Manager
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Manage the `ltx23_kb` Qdrant collection — the dedicated knowledge base for LTX 2.3 video generation. Tracks known issues, resolutions, prompt suggestions, new modules, official source updates, and community findings.
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## Storage Location
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| Setting | Value |
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|---------|-------|
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| Qdrant | http://10.0.0.22:6333 |
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| Collection | `ltx23_kb` |
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| Dimensions | 1024 |
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| Distance | Cosine |
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| Embedding | Ollama (snowflake-arctic-embed2) |
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| MCP Tool | `mcp__better_qdrant__*` |
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## What Goes Here
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Everything LTX 2.3 related that should be searchable across sessions:
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- **Known issues** — bugs, artifacts, model limitations, workarounds
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- **Resolutions** — fixes, patches, config changes that solved problems
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- **Prompt suggestions** — effective prompt patterns, structures, word limits
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- **New modules** — community modules, extensions, LoRAs, pipelines
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- **Official source tracking** — Lightricks GitHub releases, changelogs, docs
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- **Community findings** — HuggingFace discussions, Reddit, Discord insights
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- **Render settings** — proven configs (steps, guidance, resolution, CFG)
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- **Pipeline decisions** — architecture choices, model chain wiring
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## Commands
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### Add Documents
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Add a file (markdown, text, JSON) to the knowledge base. The file is chunked and embedded automatically.
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```
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mcp__better_qdrant__add_documents(
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collection="ltx23_kb",
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embeddingService="ollama",
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filePath="/absolute/path/to/file.md"
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)
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```
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**Chunking:** Default 500 chars with 50 char overlap. Works for .md, .txt, .json, .py files.
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### Search
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Semantic search across all LTX 2.3 knowledge.
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```
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mcp__better_qdrant__search(
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collection="ltx23_kb",
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embeddingService="ollama",
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query="your search query",
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limit=10
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)
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```
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**Tips:**
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- Use natural language queries — "LTX 2.3 temporal consistency fix" not "ltx artifact"
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- Results include score, title, summary, and key claims
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- Higher limit = more context but more tokens
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### List All Collections
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```
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mcp__better_qdrant__list_collections()
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```
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## Workflow: Save Research Findings
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After researching LTX 2.3 (new release, bug fix, community finding):
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1. **Write findings to a markdown file** in `~/workspace/general/` or a dedicated LTX workspace
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2. **Add to ltx23_kb** — use `add_documents` for the file
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3. **Confirm** — report chunk count to user
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4. **Cross-reference** — search `ai_brain_kb` and `local-ai-video-research` for related context
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## Workflow: Research an LTX Issue
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When troubleshooting or exploring LTX 2.3:
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1. **Search ltx23_kb first** — what do we already know?
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2. **Search ai_brain_kb** — broader AI video context
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3. **If gaps found** — dispatch web search for official sources (Lightricks GitHub, HuggingFace)
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4. **Save results** — add the research output to ltx23_kb
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5. **Proceed** — now you have full context
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## Official Sources
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Primary sources to monitor (for cron-based updates):
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- **GitHub:** https://github.com/Lightricks/LTX-Video — official repo, releases, issues
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- **HuggingFace:** https://huggingface.co/Lightricks/LTX-Video — model weights, model cards
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- **HuggingFace Community:** https://huggingface.co/Lightricks — organization page
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## Pitfalls
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- **File paths must be absolute** — the MCP tool resolves from the Hermes host filesystem.
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- **Large files chunk automatically** — 500 char chunks. Very large files (100K+ chars) may produce many chunks; consider summarizing first.
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- **No per-document delete** — the MCP tool only supports collection-level delete. Plan your adds accordingly.
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- **Embedding model must be running** — Ollama with `snowflake-arctic-embed2` must be available at 10.0.0.30:11434 (mini).
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- **Collection name is exact** — `ltx23_kb`, not `ltx-23-kb` or `ltx23`.
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- **Search is semantic, not keyword** — phrase queries naturally. "How to fix LTX temporal artifacts" works better than "ltx artifact fix".
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- **Don't mix with ai_brain_kb** — `ltx23_kb` is scoped to LTX 2.3 specifically. Broader AI video knowledge goes to `ai_brain_kb`.
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- **Prompt ceiling** — LTX 2.3 official limit is 200 words (Lightricks GitHub README). Community extends to 150-300 words for 10s clips. One main action per 2-3 seconds of video.
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## Related Skills
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- `ai-brain-kb` — Central AI/ML knowledge base (broader scope)
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- `qdrant-collection-management` — Collection-level operations: consolidation, migration, dedup, registry
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- `ltx-video-pipeline` — LTX Video pipeline on 10.0.0.202
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- `local-ai-media-generation` — Plan and evaluate local AI media generation pipelines
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