txtai: Automate Search
Get AI-powered semantic search with txtai, a framework for startup founders, with 12k+ GitHub stars.
12,622 stars827 forksPythonQuality 8/10Updated 6/1/2026100% free · open source Creates intelligent search and AI workflows by turning text data into smart, semantically-aware indexes that can be queried conversationally
- •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
- 1Install via pip: pip install txtai
- 2Create a simple semantic index of your documents
- 3Configure search and retrieval parameters
- 4Query your index using natural language questions
Ready-to-paste prompt 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)Saves to your device
Topics
agents
ai
ai-agents
embeddings
information-retrieval
language-model
large-language-models
llm
nlp
python
rag
retrieval-augmented-generation
search
search-engine
semantic-search
sentence-embeddings
transformers
txtai
vector-database
vector-search