Requirements
- Target platform
- OpenClaw
- Install method
- Manual import
- Extraction
- Extract archive
- Prerequisites
- OpenClaw
- Primary doc
- SKILL.md
Tencent SkillHub Β· Productivity
RAGLite
Local-first RAG cache: distill docs into structured Markdown, then index/query with Chroma + hybrid search (vector + keyword).
skill openclawclawhub Free
Local-first RAG cache: distill docs into structured Markdown, then index/query with Chroma + hybrid search (vector + keyword).
β¬ 0 downloads β
0 stars Unverified but indexed
Install for OpenClaw
Quick setup
- Download the package from Yavira.
- Extract the archive and review SKILL.md first.
- Import or place the package into your OpenClaw setup.
Package facts
- Download mode
- Yavira redirect
- Package format
- ZIP package
- Source platform
- Tencent SkillHub
- What's included
- SKILL.md, openclaw.plugin.json, scripts/install.sh, scripts/raglite.sh
Validation
- Use the Yavira download entry.
- Review SKILL.md after the package is downloaded.
- Confirm the extracted package contains the expected setup assets.
Install with your agent
Agent handoff
Hand the extracted package to your coding agent with a concrete install brief instead of figuring it out manually.
- Download the package from Yavira.
- Extract it into a folder your agent can access.
- Paste one of the prompts below and point your agent at the extracted folder.
New install
I downloaded a skill package from Yavira. Read SKILL.md from the extracted folder and install it by following the included instructions. Tell me what you changed and call out any manual steps you could not complete.
Upgrade existing
I downloaded an updated skill package from Yavira. Read SKILL.md from the extracted folder, compare it with my current installation, and upgrade it while preserving any custom configuration unless the package docs explicitly say otherwise. Summarize what changed and any follow-up checks I should run.
Trust & source
Release facts
- Source
- Tencent SkillHub
- Verification
- Indexed source record
- Version
- 1.0.0
Provenance
- Publisher
- VirajSanghvi1
- Source page
- View original listing
- Canonical URL
- Open canonical page
Documentation
RAGLite β a local RAG cache (not a memory replacement)
RAGLite is a local-first RAG cache. It does not replace model memory or chat context. It gives your agent a durable place to store and retrieve information the model wasnβt trained on β especially useful for local/private knowledge (school work, personal notes, medical records, internal runbooks).
Why itβs better than βpaid RAGβ / knowledge bases (for many use cases)
Local-first privacy: keep sensitive data on your machine/network. Open-source building blocks: Chroma π§ + ripgrep β‘ β no managed vector DB required. Compression-before-embeddings: distill first β less fluff/duplication β cheaper prompts + more reliable retrieval. Auditable artifacts: the distilled Markdown is human-readable and version-controllable. If you later outgrow local, you can swap in a hosted DB β but you often donβt need to.
1) Condense βοΈ
Turns docs into structured Markdown outputs (low fluff, more βwhat mattersβ).
2) Index π§
Embeds the distilled outputs into a Chroma collection (one DB, many collections).
3) Query π
Hybrid retrieval: vector similarity via Chroma keyword matches via ripgrep (rg)
Default engine
This skill defaults to OpenClaw π¦ for condensation unless you pass --engine explicitly.
Prereqs
Python 3.11+ For indexing/query: Chroma server reachable (default http://127.0.0.1:8100) For hybrid keyword search: rg installed (brew install ripgrep) For OpenClaw engine: OpenClaw Gateway /v1/responses reachable OPENCLAW_GATEWAY_TOKEN set if your gateway requires auth
Install (skill runtime)
This skill installs RAGLite into a skill-local venv: ./scripts/install.sh It installs from GitHub: git+https://github.com/VirajSanghvi1/raglite.git@main
One-command pipeline (recommended)
./scripts/raglite.sh run /path/to/docs \ --out ./raglite_out \ --collection my-docs \ --chroma-url http://127.0.0.1:8100 \ --skip-existing \ --skip-indexed \ --nodes
Query
./scripts/raglite.sh query ./raglite_out \ --collection my-docs \ --top-k 5 \ --keyword-top-k 5 \ "rollback procedure"
Outputs (what gets written)
In --out youβll see: *.tool-summary.md *.execution-notes.md optional: *.outline.md optional: */nodes/*.md plus per-doc *.index.md and a root index.md metadata in .raglite/ (cache, run stats, errors)
Troubleshooting
Chroma not reachable β check --chroma-url, and that Chroma is running. No keyword results β install ripgrep (rg --version). OpenClaw engine errors β ensure gateway is up and token env var is set.
Pitch (for ClawHub listing)
RAGLite is a local RAG cache for repeated lookups. When you (or your agent) keep re-searching for the same non-training data β local notes, school work, medical records, internal docs β RAGLite gives you a private, auditable library: Distill to structured Markdown (compression-before-embeddings) Index locally into Chroma Query with hybrid retrieval (vector + keyword) It doesnβt replace memory/context β itβs the place to store what you need again.
Category context
Workflow acceleration for inboxes, docs, calendars, planning, and execution loops.
Source: Tencent SkillHub
Largest current source with strong distribution and engagement signals.
Package contents
Included in package
2 Scripts1 Docs1 Config
- SKILL.md
- scripts/install.sh
- scripts/raglite.sh
- openclaw.plugin.json