CocoSearch FAQs

Question 1

Does CocoSearch require external APIs or cloud services?

Accepted Answer

No, CocoSearch is designed for complete privacy and local operation. All components, including embeddings (via Ollama), storage (PostgreSQL with pgvector), and search processing, run entirely on your machine without relying on external APIs or cloud services.

Question 2

How does CocoSearch enhance understanding of a codebase?

Accepted Answer

By finding code based on its conceptual meaning and allowing for structural filtering, CocoSearch enables faster onboarding to new codebases, efficient debugging, and in-depth exploration. Its AI Chat also provides interactive assistance for complex queries and code explanations.

Question 3

What unique features does CocoSearch offer for developers?

Accepted Answer

Key features include hybrid semantic and keyword search, symbol filtering (by type and name), context expansion to retrieve full code units (functions/classes), a two-level LRU query cache for speed, and an interactive Web AI Chat powered by Claude Agent SDK for codebase questioning.

Question 4

Which programming languages and interfaces does CocoSearch support?

Accepted Answer

CocoSearch supports over 30 programming languages (like Python, Java, Go, JavaScript, Rust) and various domain-specific grammars, leveraging Tree-sitter for syntax-aware parsing. It's accessible via a CLI, a WEB dashboard, an MCP server, or an interactive REPL.

Question 5

What is CocoSearch and how does it find code?

Accepted Answer

CocoSearch is a local-first hybrid semantic code search tool that helps developers find code by its meaning, not just keywords. It combines vector similarity and keyword matching (via Reciprocal Rank Fusion) to deliver highly relevant results, powered by local AI embeddings.

CocoSearch

CocoSearch

Key Features

Use Cases

Key Features

Use Cases