Akopia FAQs

Question 1

What is Akopia and its primary purpose?

Accepted Answer

Akopia is a headless, self-hosted retrieval plane designed for AI stacks. It provides complete RAG (Retrieval Augmented Generation) infrastructure, featuring freshness-aware hybrid search, a plugin-first architecture for extensibility, and MCP integration for AI agents.

Question 2

What embedding providers does Akopia support?

Accepted Answer

Akopia offers pluggable text embedding providers, defaulting to fastembed for in-process, CPU-based embeddings. It also supports integration with external Ollama servers for increased throughput, with plans for TEI and OpenAI providers in future releases.

Question 3

Can I integrate Akopia with various data sources and content types?

Accepted Answer

Yes, Akopia boasts a plugin-first architecture. It supports various source adapters (e.g., Git, local folders, web crawlers) and content extractors (e.g., plain text, Office documents, PDFs, HTML), allowing you to easily ingest and process diverse data types from different locations.

Question 4

How does Akopia's hybrid search work to deliver relevant results?

Accepted Answer

Akopia leverages a hybrid search approach, combining vector search capabilities from Qdrant for semantic understanding with lexical search from Meilisearch for keyword accuracy. This ensures comprehensive, fresh, and highly relevant retrieval across your knowledge base.

Question 5

How does Akopia facilitate integration with AI agents?

Accepted Answer

Akopia includes an MCP (Meta-Content Protocol) server that exposes various search and data management tools. This enables seamless integration with MCP-capable AI agents like Claude Desktop, Cursor, or Continue.dev, allowing them to query your knowledge base effectively.

Akopia

Akopia

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主要功能

使用案例