Building a Copilot for Git History With pgvector & Timescale
Blog post from Tiger Data
OpenSauced is using Timescale, a time-series database built on PostgreSQL, to provide insights and metrics on open-source projects at GitHub's massive scale. The company chose Timescale due to its performance results, compatibility with their existing technology stack, and cost-effective pricing model. OpenSauced has also integrated pgvector, a Postgres extension for vector storage, to develop an AI feature called StarSearch that performs similarity search across relevant GitHub events. This allows users to ask questions and receive answers based on the most relevant information from the database. Overall, Timescale's performance and capabilities have been crucial in enabling OpenSauced to scale its operations and offer innovative solutions for open-source project analysis.
| Trend | Post Mentions | Total Month Mentions | Posts | Companies | MoM |
|---|---|---|---|---|---|
| Vector Search | 30 | 1,312 | 195 | 85 | -52% |
| LLM | 12 | 3,001 | 352 | 143 | -18% |
| RAG | 6 | 887 | 152 | 64 | -52% |
| AI Coding Assistant | 5 | 544 | 89 | 46 | +70% |
| Data Pipeline | 3 | 538 | 147 | 67 | -14% |
| Real-time | 3 | 2,372 | 655 | 216 | -5% |
| Kubernetes | 2 | 1,407 | 155 | 84 | -32% |
| AI Agents | 1 | 257 | 73 | 37 | +20% |
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