neuml/txtai

★13,278Python🇺🇸 North AmericaApache-2.0⑂ 990Issue 9Updated Nov 10, 2026

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

A Single Framework Combining Vector Search, Graphs and LLM Agents — txtai bundles vector indexes, graph networks and relational databases into one embeddings database that powers semantic search, RAG and multi-model workflows. Rather than stitching together separate vector DB, graph and LLM tools, developers get a unified foundation for building autonomous agents and search-driven AI applications in Python.

LLMs & MLagentsaiai-agentsembeddingsinformation-retrievallanguage-modellarge-language-modelsllmnlppythonragretrieval-augmented-generationsearchsearch-enginesemantic-searchsentence-embeddingstransformerstxtaivector-databasevector-search

Metrics

Relative growth (7d)+2%Growth over the last 7 days relative to size
Acceleration+1026%Change in growth pace from the week before
Attention70The three metrics scaled to 0–100 and combined

Retention can be computed 30 days after a repository first trends (it isn't shown until then). See About for how each metric is defined.

Star growth and Trending appearances (last 30 days)

First listed+75★/dayDaily
Oct 13, 2026Nov 11, 2026

Bands mark days on the trending list (darker = higher rank)

Daily trending ranks as a table (2 days)
DateDaily
Nov 10, 2026
python #16 +70
Nov 9, 2026
python #7 +56

Created Aug 10, 2020 · First on trending Nov 9, 2026

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Rank within agents

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44neuml/txtai13,278

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