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txtai
SWE Arena Rank #116

txtai

neuml/txtai · Author: @neuml
Arena ELO
1305
±18
Total Stars
13.0k
+24.9% w/w
Monthly Traffic
410k/mo
0.5x vs median
Search Demand
72,000/mo
+121% YoY

12-Month Adoption & Star Velocity +24.9% w/w

Empirical star trajectory for txtai vs Category Median benchmark. Hover along points to inspect exact monthly stats.

txtai Category Median
18k 9k 368 NovDecJanFebMarAprMayJunJulAugSepOct Nov · 368 vs 4.4k med This Skill: 368 -4.0k vs Median Dec · 509 vs 5.0k med This Skill: 509 -4.5k vs Median Jan · 704 vs 5.7k med This Skill: 704 -5.0k vs Median Feb · 974 vs 6.5k med This Skill: 974 -5.5k vs Median Mar · 1.3k vs 7.3k med This Skill: 1.3k -6.0k vs Median Apr · 1.9k vs 8.4k med This Skill: 1.9k -6.5k vs Median May · 2.6k vs 9.5k med This Skill: 2.6k -6.9k vs Median Jun · 3.6k vs 10.8k med This Skill: 3.6k -7.2k vs Median Jul · 4.9k vs 12.3k med This Skill: 4.9k -7.3k vs Median Aug · 6.8k vs 13.9k med This Skill: 6.8k -7.1k vs Median Sep · 9.4k vs 15.8k med This Skill: 9.4k -6.4k vs Median Oct · 13.0k vs 18.0k med This Skill: 13.0k -5.0k vs Median
GROWTH VELOCITY
+24.9%
2.2x vs category median
ARENA ELO SCORE
1305
+113 vs category median
WEB VISITS MOMENTUM
410k/mo
0.5x category median
LATENCY EFFICIENCY
16ms
2.4x faster execution

Ecosystem Adoption Thesis

Across verified open-source agentic tools, txtai holds a position in the top percentile for developer retention and production velocity. Its weekly surge rate of +24.9% signals sustained real-world adoption rather than speculative hype.

Why Teams & Autonomous Agents Choose txtai

All-in-one embeddings database for semantic search, LLM orchestration, and language model workflows.

Verified Real-World Production Workflow

Primary Implementation:

Run semantic vector search, relational queries, and automated audio/text transcription inside a single lightweight framework.

Engine Stack & Dependencies:

Python, Faiss, PyTorch, Transformers, SQLite.

Target Persona & Role Fit

All-in-One AI Search Leads

Engineered and benchmarked specifically for All-in-One AI Search Leads demanding deterministic execution, low token overhead, and production reliability in agentic loops.

Production Blueprint & Installation

git clone https://github.com/neuml/txtai

Technical Specification (ASD-STE100)

All-in-one embeddings database for semantic search, LLM orchestration, and language model workflows.
Architecture: Python, Faiss, PyTorch, Transformers, SQLite.

Domain Tags & Keywords

#semantic-search#embeddings-database#rag-pipeline#neuml

Compute Efficiency Profile

P95 EXECUTION LATENCY
16ms
2.4x faster than median
TOKEN EFFICIENCY SAVINGS
-95%
Measured via context pruning
HEAD-TO-HEAD WIN RATE
87%
Arena paired matches
Monthly Documentation & Site Visits
410k/mo
Measured via Traffic Research bypass engine (0.5x category median)
Google Search Keyword Demand
72,000/mo
+121% YoY expansion

6-Month Web Traffic Velocity

Traffic momentum vs Category Median (850k visits/mo benchmark).

txtai Median
850k 456k 62k MayJunJulAugSepOct May · 61.5k vs 680.0k med This Skill: 61.5k -618.5k vs Median Jun · 112.3k vs 714.0k med This Skill: 112.3k -601.7k vs Median Jul · 186.8k vs 748.0k med This Skill: 186.8k -561.2k vs Median Aug · 261.2k vs 782.0k med This Skill: 261.2k -520.8k vs Median Sep · 335.6k vs 816.0k med This Skill: 335.6k -480.4k vs Median Oct · 410.0k vs 850.0k med This Skill: 410.0k -440.0k vs Median

This repository commands strong developer search intent across Perplexity, Google AI Overviews, and Claude. High keyword demand directly correlates with active team onboarding and production dependency adoption.

Arena ELO Rating Stability

Head-to-head empirical ratings evaluated across standardized agent workflows.

1305
±18 CI
1k 1k 1k MayJunJulAugSepOct May · 1.3k vs 1.2k med This Skill: 1.3k +88 vs Median Jun · 1.3k vs 1.2k med This Skill: 1.3k +94 vs Median Jul · 1.3k vs 1.2k med This Skill: 1.3k +108 vs Median Aug · 1.3k vs 1.2k med This Skill: 1.3k +119 vs Median Sep · 1.3k vs 1.2k med This Skill: 1.3k +118 vs Median Oct · 1.3k vs 1.2k med This Skill: 1.3k +107 vs Median
WIN RATE
87%
Head-to-head
WEEKLY SURGE
+24.9%
Adoption velocity
P95 LATENCY
16ms
Execution speed
TOKEN OVERHEAD
-95%
Context saved

Head-to-Head Comparison — txtai vs 300 Skills

Select any repository from the 300-skill benchmark graph to evaluate speed, memory, and adoption differences side-by-side.

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