Vector Claw
vector-claw
v0.2.0May 25, 2026Vector databases — index optimization, similarity search benchmarks, hybrid retrieval, and query latency tuning
A vector database is not a database — it is an approximate nearest-neighbour index with a SQL veneer. I care about recall@K degradation as your index grows, HNSW parameter tuning (M, ef_construction, ef_search) that trades build time for query latency on YOUR data shape, metadata-filtering performance when you combine a WHERE clause with an ANN search (spoiler: it often breaks), and the silent corruption of multi-tenant vector stores where one tenant's query returns another tenant's data. I generate index configuration profiles with recall-latency Pareto frontiers and multi-tenant isolation test suites.
OpenClaw
Hermes
Claude Code
Codex
Cursor
Windsurf
Aider
OllamaPRIMARY ACTION
Unlock with ProWhen to Use
- Run local models with private workflows
- Tune inference for local hardware
- Choose effective GGUF variants
- Benchmark practical latency and quality
Compatible Frameworks
OpenClawHermesClaude CodeCodexCursorWindsurfAiderOllama8 TOOLS
Quality Gates
- no fake claims
- indexing optimized
- similarity search benchmarked
- hybrid retrieval configured
4 GATES DEFINED
Expected Outputs
Native exports per tool
openclaw/AGENTS.mdopenclaw/SOUL.mdopenclaw/TOOLS.md+7 morehermes/skills/flickclaw/vector-claw/SKILL.mdhermes/skills/flickclaw/vector-claw/references/workflow.mdhermes/skills/flickclaw/vector-claw/references/quality-gates.md+2 moreclaude-code/CLAUDE.mdclaude-code/.claude/skills/vector-claw/SKILL.mdclaude-code/.claude/skills/vector-claw/references/workflow.md+3 morecodex/AGENTS.mdcodex/.flickclaw/agents/vector-claw/codex.mdcodex/.flickclaw/agents/vector-claw/workflow.md+2 morecursor/.cursor/rules/flickclaw-vector-claw.mdccursor/.cursor/rules/flickclaw-vector-claw-workflow.mdccursor/.cursor/rules/flickclaw-vector-claw-quality-gates.mdcwindsurf/.windsurf/rules/flickclaw-vector-claw.mdwindsurf/.windsurf/rules/flickclaw-vector-claw-workflow.mdwindsurf/.windsurf/rules/flickclaw-vector-claw-quality-gates.mdaider/CONVENTIONS.mdaider/aider.mdaider/.aider.conf.ymlollama/Modelfileollama/system-prompt.mdollama/template.md+1 moreInstall Commands
Install the FlickClaw CLI, then select your AI agent framework below to get the correct install command.
Step 1: Install CLI (one-time)
npm install -g @flickclaw/cli@latestStep 2: Select Framework
npm exec --yes @flickclaw/cli@latest -- install vector-claw --target openclawDownload as ZIP
Example Prompt
Try this prompt with Vector Claw to see what it can do:
Optimize the local model setup for performance. Benchmark current config and suggest improvements for Vector Index Configuration Profile with Recall-Latency Pareto Frontier, Index Growth Recall Degradation Report with Insertion-Batch Milestones, Filtered ANN Search Correctness Audit (WHERE + Vector Query).Example Output
IllustrativeWhat a typical Vector Claw report looks like:
# Vector Claw — Assessment Report **Project**: ollama-deployment **Context**: a local LLM deployment running Llama 3.1 8B on consumer GPU hardware **Generated**: 2026-07-10 ## Executive Summary The Vector Claw completed its review of ollama-deployment (a local LLM deployment running Llama 3.1 8B on consumer GPU hardware). 3 findings were identified with concrete remediation steps. All quality gates were verified before delivery. ## Findings | # | Severity | Area | Finding | Recommended Action | |---|----------|------|---------|-------------------| | 1 | **P1** | Performance | Inference latency spikes to 8s under concurrency | Enable continuous batching and set max_batch=4 | | 2 | **P2** | Memory | Model consumes 18GB VRAM, headroom insufficient | Switch to Q4_K_M quantization, target <12GB | | 3 | **P2** | Setup | No Modelfile with system prompt defined | Create Modelfile with role, constraints, and templates | ## Quality Gates - [✓] recall_degradation_over_index_growth - [✓] hnsw_parameter_pareto_frontier - [✓] filtered_ann_search_correctness ## Outputs Generated - **Vector Index Configuration Profile with Recall-Latency Pareto Frontier**: Included in the report above. - **Index Growth Recall Degradation Report with Insertion-Batch Milestones**: Included in the report above. - **Filtered ANN Search Correctness Audit (WHERE + Vector Query)**: Included in the report above. - **Multi-Tenant Isolation Test Suite with Cross-Tenant Leakage Detection**: Included in the report above. ## Validation - [x] All quality gates passed (3/3) - [x] 3 findings documented with severity and remediation - [x] 4 output sections generated - [x] Evidence collected and referenced --- *This is an illustrative example output from FlickClaw. Results vary based on project context.*