{"data":{"slug":"neuml-txtai","name":"txtai","tagline":"All-in-one AI framework for semantic search, LLM orchestration and language model workflows","github_url":"https://github.com/neuml/txtai","owner":"neuml","repo":"txtai","owner_avatar_url":"https://avatars.githubusercontent.com/u/59890304?v=4","primary_language":"Python","stars":12890,"forks":873,"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"],"archived":false,"github_pushed_at":"2026-08-12T13:42:39+00:00","maintenance_label":"Very active","stars_delta_30d":162,"url":"https://www.graphcanon.com/tools/neuml-txtai","markdown_url":"https://www.graphcanon.com/tools/neuml-txtai.md","api_url":"https://www.graphcanon.com/api/graphcanon/tools/neuml-txtai","graph_url":"https://www.graphcanon.com/api/graphcanon/graph?tool=neuml-txtai","description":"💡 All-in-one AI framework for semantic search, LLM orchestration and language model workflows","homepage_url":"https://neuml.github.io/txtai","license":"Apache-2.0","open_issues":10,"watchers":115,"ai_summary":"Txtai is a comprehensive Python library designed to facilitate the development of applications involving semantic search, orchestration of large language models, and other natural language processing tasks. It offers functionalities such as embedding generation, information retrieval, and integration with various transformers.","readme_excerpt":"## Installation\n\n\n\n\nThe easiest way to install is via pip and PyPI\n\n```\npip install txtai\n```\n\nPython 3.10+ is supported. Using a Python [virtual environment](https://docs.python.org/3/library/venv.html) is recommended.\n\nSee the detailed [install instructions](https://neuml.github.io/txtai/install) for more information covering [optional dependencies](https://neuml.github.io/txtai/install/#optional-dependencies), [environment specific prerequisites](https://neuml.github.io/txtai/install/#environment-specific-prerequisites), [installing from source](https://neuml.github.io/txtai/install/#install-from-source), [conda support](https://neuml.github.io/txtai/install/#conda), [lightweight minimal installation](https://neuml.github.io/txtai/install/#minimal-install) and how to [run with containers](https://neuml.github.io/txtai/cloud).","github_created_at":"2020-08-09T19:14:59+00:00","created_at":"2026-07-07T17:33:47.081791+00:00","updated_at":"2026-08-16T00:00:48.183246+00:00","categories":[{"slug":"ai-agents","name":"AI Agents","url":"https://www.graphcanon.com/categories/ai-agents","markdown_url":"https://www.graphcanon.com/categories/ai-agents.md","api_url":"https://www.graphcanon.com/api/graphcanon/categories/ai-agents"},{"slug":"data-retrieval","name":"Data & Retrieval","url":"https://www.graphcanon.com/categories/data-retrieval","markdown_url":"https://www.graphcanon.com/categories/data-retrieval.md","api_url":"https://www.graphcanon.com/api/graphcanon/categories/data-retrieval"},{"slug":"llm-frameworks","name":"LLM Frameworks","url":"https://www.graphcanon.com/categories/llm-frameworks","markdown_url":"https://www.graphcanon.com/categories/llm-frameworks.md","api_url":"https://www.graphcanon.com/api/graphcanon/categories/llm-frameworks"}],"tags":[{"slug":"ai-agents","name":"ai-agents"},{"slug":"embeddings","name":"embeddings"},{"slug":"information-retrieval","name":"information-retrieval"},{"slug":"language-model","name":"language-model"},{"slug":"large-language-models","name":"large language models"},{"slug":"llm","name":"llm"},{"slug":"nlp","name":"nlp"},{"slug":"python","name":"python"}],"trust":{"provenance":{"is_fork":false,"github_id":286301447,"owner_type":"Organization","methodology":"github_public_v1","parent_repo":null,"near_duplicate_slugs":[]},"computed_at":"2026-08-16T00:00:47.404Z","maintenance":{"label":"Very active","score":96,"methodology":"github_public_v1","releases_90d":3,"days_since_push":3,"last_release_at":"2026-07-30T19:43:23Z","stars_delta_30d":162,"open_issues_delta_30d":-8},"security_summary":{"status":"no_lockfile","scanner":null,"low_count":0,"high_count":0,"last_scan_at":"2026-07-11T10:55:03.999Z","medium_count":0,"scan_profile":"none","critical_count":0}},"capability_facts":{"scan":{"source":"repo_scan","observed_at":"2026-08-16T00:00:47.849Z"},"languages":{"value":["python"],"source":"github.language+pyproject.toml","observed_at":"2026-08-16T00:00:47.849Z"},"license_spdx":{"value":"Apache-2.0","source":"github.license","observed_at":"2026-08-16T00:00:47.849Z"}},"decision_facts":{"hosting":null,"pricing":{"model":"freemium","summary":"Txtai is open-source under the Apache-2.0 license allowing free usage along with modification for personal and commercial projects. However, it doesn't come with dedicated support packages which can旗子"},"requirements":{"notes":["Development and use of txtai require a Python environment set up on your machine."],"min_ram_gb":4,"requires_docker":false},"constraints":{"min_ram_gb":4,"pricing_model":"freemium","requires_docker":false},"when_to_use":["When you need a cohesive, unified solution that doesn't require integration across multiple frameworks – txtai bundles semantic search and LLM orchestration.","If your project heavily involves embedding generation and information retrieval from text data, leveraging txtai's built-in functionalities can save development time."],"when_not_to_use":["When you specifically need a framework with focus on advanced machine learning models beyond NLP, as txtai primarily focuses on semantic search and LLM workflows.","If your project requires customization of every single component of the AI pipeline from scratch, txtai's all-in-one approach might limit that flexibility."],"source":"enrich:decision_facts","observed_at":"2026-07-11T15:20:04.910Z"},"constraint_facets":{"min_ram_gb":4,"pricing_model":"freemium","requires_docker":false},"decision_summary":[{"label":"Pricing","value":"freemium - Txtai is open-source under the Apache-2.0 license allowing free usage along with modification for personal and commercial projects. However, it doesn't come with dedicated support packages which can旗子"},{"label":"Requirements","value":"Min 4 GB RAM; Development and use of txtai require a Python environment set up on your machine."},{"label":"Adopt for","value":"Txtai offers a comprehensive suite for semantic search and large language model workflows. Ideal for those who require an all-in-one framework with embedding generation and information retrieval capabilities."}]}}