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Runnable, end-to-end examples. Python examples open in Colab with one click; all of them live in the infino repository.

RAG over documents

Chunk, embed, retrieve (vector / hybrid / filtered / conversational), and ground an answer. Python, Open in Colab.

Agent memory

Long-term memory for an agent: hybrid recall, SQL over memory, and mutation, over one table. Node.js.

Hybrid search service

An embedded BM25 + vector search API over a product catalog, with no separate search server. Node.js.

Code search

Exact, natural-language (vector), and keyword (BM25) search over a corpus of functions. Python, Open in Colab.

Analytics + search

SQL GROUP BY time-series and leaderboards alongside BM25, over one table. Python, Open in Colab.

Live / mutable data

Keep a live inventory current with update / delete, durable across reconnect. Python, Open in Colab.
See the MCP server to give an AI agent the same retrieval in any MCP client.
Last modified on August 31, 2026