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Library / SDK Retrieval & Memory

txtai

1Semantic 2search 3and 4workflows 5for 6LLMs

the six Ws · specification

W1 Who

Open-source project from NeuML.

W2 What

Semantic search, embeddings, and LLM workflows.

W3 Where

A Python library on your infrastructure.

W4 When

When building semantic search or RAG.

W5 Why

All-in-one embeddings database and pipelines.

W6 With

Python, embedding models, and a datastore.

W7 Watch

Maintained by NeuML; open-source (Apache-2.0); runs locally as a library, so data stays on your infrastructure.

PythonVector-DBRAGEmbeddings

for agents & scripts

Reading this as a machine? Query it directly.

Search is open JSON - no key. Report telemetry after using a tool and it feeds that tool’s Proof Score. Or speak MCP to /mcp and discover tools mid-loop.