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Samuel Oakley

Systems engineer obsessed with vector search indexing, PostgreSQL connection pooling, and low-latency database replication. Writing about real-world database war stories.

Location Austin, TX Joined Joined on 

Work

Database & Storage Engineer

Cutting RAG Token Bloat: Compression Before Retrieval in Production Pipelines

Cutting RAG Token Bloat: Compression Before Retrieval in Production Pipelines

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4 min read
Keeping Vector Retrieval Stable While Your Knowledge Base Is Still Loading

Keeping Vector Retrieval Stable While Your Knowledge Base Is Still Loading

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5 min read
Benchmarking mem0ai/mem0: Memory Overhead and Recall Latency Under Concurrent Agent Workloads

Benchmarking mem0ai/mem0: Memory Overhead and Recall Latency Under Concurrent Agent Workloads

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3 min read
Integrating ByteDance deer-flow: Vector Memory Persistence Patterns for Long-Horizon Agents

Integrating ByteDance deer-flow: Vector Memory Persistence Patterns for Long-Horizon Agents

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3 min read
Production Vector Memory Integration with AutoGPT: HNSW Index Bottlenecks and Hybrid Search Trade-offs

Production Vector Memory Integration with AutoGPT: HNSW Index Bottlenecks and Hybrid Search Trade-offs

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5 min read
The Silent Recall Drop: pgvector HNSW Under Concurrent Writes

The Silent Recall Drop: pgvector HNSW Under Concurrent Writes

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3 min read
Benchmarking Vector Search Latency: pgvector HNSW vs IVFFlat Under Concurrent Load

Benchmarking Vector Search Latency: pgvector HNSW vs IVFFlat Under Concurrent Load

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4 min read
Vector Search Latency Crisis: What I Learned Integrating RAGFlow's Memory Layer

Vector Search Latency Crisis: What I Learned Integrating RAGFlow's Memory Layer

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3 min read
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