Who is SochDB for — and what problem does it solve?

• AI / LLM application developers

• Autonomous agent builders

• RAG system builders

• Indie hackers building local-first AI apps

• Platform engineers tired of glue code

• Too many databases to manage (SQL + Vector + Cache + Memory)

• Context assembly is manual, fragile, and duplicated

• Vector + SQL split creates sync and reasoning issues

• Infra cost and operational complexity keep growing

• Hard to reason about memory, state, and relevance together

SochDB collapses structured data, vectors, and context memory into one embedded engine — so your AI app stays simple and local-first.

Before SochDB vs After SochDB

Same AI app. Very different complexity.

BEFORE

Stitching databases for AI apps

• PostgreSQL for structured data
• Vector database for embeddings
• Separate cache / memory layer
• Manual context assembly
• Glue code everywhere
• Higher infra and ops cost

SQL DB + Vector DB + Cache + Glue Code

AFTER

One embedded engine

• SQL + vectors + context in one DB
• Consistent querying and reasoning
• No sync or split-brain issues
• Local-first and predictable
• Less code, less infra

SochDB

SochDB collapses your data and context stack into a single embedded engine for AI apps.

Local-first by design

Because AI infrastructure should be predictable.

AI applications are stateful. They depend on context, memory, and relevance — not just stateless requests.

When data, vectors, and memory are spread across multiple remote systems, reasoning becomes fragile. Latency increases. Failures multiply. Debugging turns into guesswork.

SochDB is embedded and local-first by default. Your data, vectors, and context live together, close to the application logic.

This leads to:

• Predictable performance
• Lower operational overhead
• Easier debugging
• Fewer moving parts

The AI-Native Database

SochDB is a high-performance, embedded, ACID-compliant database purpose-built for AI agents and their memory.