txtai: Fast Semantic Search & LLM Workflow Engine for Founders
From the repo · “💡 All-in-one AI framework for semantic search, LLM orchestration and language model workflows”
Use a pre-made AI framework to power your website or app with search capabilities.
"A founder of a small e-commerce site wants to let customers easily find products with a visually appealing description. They use this framework to integrate an AI-powered search bar, which saves them around 2 days of development time. The search bar goes live in a week."
- •Building a custom knowledge base search for your startup's documentation
- •Creating an AI assistant that can understand context across your company's data
- •Automating information retrieval and summarization from large text collections
from txtai import Embeddings
embeddings = Embeddings({'path': 'sentence-transformers/all-MiniLM-L6-v2'})
embeddings.index([(0, 'first document'), (1, 'second document')])
results = embeddings.search('find documents about X', limit=3)Skip the builder — one click puts this in Claude, Cursor, Antigravity and more.
Expect 20–40 minutes in a terminal — or let your AI agent drive it.
mkdir -p ~/.claude/skills/txtai && curl -fsSL https://workflowstacks.com/api/skills/txtai/claude-skill -o ~/.claude/skills/txtai/SKILL.mdOpens the app with this repo with the prompt ready to go — no copy-paste needed.
Txtai: Fast Semantic Search & LLM Workflow Engine for Founders is a large Python project (~28k lines across 287 code files, plus 97 test files). It is a full software project: use it through its install path rather than reading it end to end. Last commit this month, Apache-2.0 license, has a test suite.
- 1README.mdStart here — what it does and how to install it
- 2pyproject.tomlDependencies and the commands it exposes
- 3src/python/txtai/__init__.pyInside src/ — the main logic begins here
- 4examples/01_Introducing_txtai.ipynbA worked example — copy this to get going
Skip the builder — one click puts this in Claude, Cursor, Antigravity and more.
Expect 20–40 minutes in a terminal — or let your AI agent drive it.
mkdir -p ~/.claude/skills/txtai && curl -fsSL https://workflowstacks.com/api/skills/txtai/claude-skill -o ~/.claude/skills/txtai/SKILL.mdOpens the app with this repo with the prompt ready to go — no copy-paste needed.
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