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neuml/txtai

All-in-one AI framework for semantic search, LLM orchestration and language model workflows. Why it matters: relevant for grounding LLMs in your own data.

GitHub description: 💡 All-in-one AI framework for semantic search, LLM orchestration and language model workflows

Stars

13k

Last 24h

+60

Last 7 days

+161

Forks

983

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Star history

GitHub stars over time. A steeper line means the repo is gaining attention faster.

Last 2 hours · +3 stars

Hourly star count for neuml/txtai13,22313,220Nov 9, 3 PM UTCNov 9, 4 PM UTC

Daily, since Oct 13, 2026 · 13k → 13k

Daily star count for neuml/txtai13,22313,014Oct 13, 2026Nov 9, 2026

Discussed on Hacker News

Hacker News is a popular tech discussion site. 26 stories link to this repo, with 88 upvotes (points) in total.

Prompt-driven vector search with LLMs28 points · 5 comments · Feb 2, 2023See all 26 on HN search →

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About txtai

neuml/txtai is a Python project in the RAG / vector category, created 6 years ago. It has 13k GitHub stars and 983 forks, and gained +161 stars over the last 7 days, ranking #11 of 12 RAG / vector repos tracked by OSS Radar this week.

See more trending RAG / vector repos or the top AI repos this week. Looking for something similar? See txtai alternatives.

Language
Python
Category
RAG / vector
License
Apache-2.0
Created
Aug 9, 2020
Last code push
2 days ago (Nov 6, 2026)
Latest release
v9.14.0 34 days ago
  • agent
  • 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

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txtai is #208 of 450 on today's leaderboard.