similarity-search-patterns

Implement efficient similarity search with vector databases. Use when building semantic search, implementing nearest neighbor queries, or optimizing retrieval performance.

1.09x

Quality

48%

Does it follow best practices?

Impact

100%

1.09x

Average score across 3 eval scenarios

Securityby

Passed

No known issues

Optimize this skill with Tessl

npx tessl skill review --optimize ./tests/ext_conformance/artifacts/agents-wshobson/llm-application-dev/skills/similarity-search-patterns/SKILL.md

Evaluation results

100%

Legal Document Semantic Search System

Pinecone vector store implementation

Criteria

Without context

With context

Modern Pinecone import

100%

ServerlessSpec import

100%

Instantiate Pinecone class

100%

ServerlessSpec with aws/us-east-1

100%

Idempotent index creation

100%

Batch upsert size

100%

Default cosine metric

100%

Default dimension 1536

100%

Metadata in search results

100%

Namespace support

100%

Filter support

100%

Result structure

100%

E-Commerce Product Search with PostgreSQL

pgvector HNSW indexing and hybrid search

Criteria

Without context

With context

Uses asyncpg

100%

Connection pool

100%

HNSW index type

100%

vector_cosine_ops operator

100%

HNSW m=16 parameter

100%

HNSW ef_construction=64

100%

Idempotent setup

100%

Cosine similarity operator

100%

Hybrid search method

100%

vector_weight parameter

100%

Metadata filter support

100%

Similarity score returned

100%

26%

Academic Research Paper Recommendation Engine

Qdrant with quantization and CrossEncoder reranking

Criteria

Without context

With context

QdrantClient import

66%

100%

Scalar quantization enabled

100%

INT8 quantization type

100%

Quantization quantile=0.99

100%

always_ram=True

100%

Idempotent collection creation

100%

CrossEncoder reranking

100%

CrossEncoder model name

100%

Over-fetch before rerank

100%

Rerank score assigned

50%

100%

Cosine distance metric

100%

PointStruct for upsert

100%

Repository: Dicklesworthstone/pi_agent_rust
Commit: 47823e3

Evaluated: about 1 month ago
Agent: Claude Code
Model: Claude Sonnet 4.6

Table of Contents

Legal Document Semantic Search System E-Commerce Product Search with PostgreSQL Academic Research Paper Recommendation Engine

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