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Pgai Alternatives
Similar projects and alternatives to pgai
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InfluxDB
InfluxDB high-performance time series database. Collect, organize, and act on massive volumes of high-resolution data to power real-time intelligent systems.
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supabase
The open source Firebase alternative. Supabase gives you a dedicated Postgres database to build your web, mobile, and AI applications.
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ollama
Get up and running with Llama 3.3, DeepSeek-R1, Phi-4, Gemma 3, Mistral Small 3.1 and other large language models.
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MySQL
MySQL Server, the world's most popular open source database, and MySQL Cluster, a real-time, open source transactional database.
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CodeRabbit
CodeRabbit: AI Code Reviews for Developers. Revolutionize your code reviews with AI. CodeRabbit offers PR summaries, code walkthroughs, 1-click suggestions, and AST-based analysis. Boost productivity and code quality across all major languages with each PR.
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TimescaleDB
A time-series database for high-performance real-time analytics packaged as a Postgres extension
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paradedb
ParadeDB is a modern Elasticsearch alternative built on Postgres. Built for real-time, update-heavy workloads.
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pgaidocs
Discontinued [GET https://api.github.com/repos/timescale/pgaidocs: 404 - Not Found // See: https://docs.github.com/rest/repos/repos#get-a-repository]
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pgvectorscale
A complement to pgvector for high performance, cost efficient vector search on large workloads.
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SaaSHub
SaaSHub - Software Alternatives and Reviews. SaaSHub helps you find the best software and product alternatives
NOTE:
The number of mentions on this list indicates mentions on common posts plus user suggested alternatives.
Hence, a higher number means a better pgai alternative or higher similarity.
pgai discussion
pgai reviews and mentions
Posts with mentions or reviews of pgai.
We have used some of these posts to build our list of alternatives
and similar projects. The last one was on 2025-03-05.
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Modern Web Development Sucks? How PostgreSQL Can Replace Your Tech Stack
pgai: A suite of tools to develop RAG, semantic search, and other AI applications more easily with PostgreSQL
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Ask HN: What use cases have you found for AI in database?
I've been looking at pgai extension.
It looks cool, but I cannot fully grasp what are practical examples of use cases.
https://github.com/timescale/pgai/
For clarity, I am not talking about the embedding capabilities. That I am clear about.
I am referring to the ability to call external models.
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🚀 pgai Vectorizer: SQLAlchemy and LiteLLM Make Vector Search Simple
We built pgai Vectorizer to simplify embedding management for AI applications—without needing a separate database or complex infrastructure. Since launch, developers have created over 3,000 vectorizers on Timescale Cloud, with many more self-hosted.
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TimescaleDB in 2024: Making Postgres Faster
If I had to summarize 2024 for Timescale, I’d call it the year of Postgres for AI. From game-changing open-source launches like pgvectorscale (a performance booster for large production vector workloads with PostgreSQL + pgvector) to pgai (which integrates Postgres with LLMs for AI app development), we pushed the boundaries of what developers can achieve with Postgres. But AI wasn’t the only story. TimescaleDB’s time-series capabilities also evolved dramatically during 2024, making Postgres even faster for real-time analytics.
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Tutorial: How We Built a Reverse Video Search System Directly in PostgreSQL
The pgvectorscale extension builds on top of pgvector, enabling PostgreSQL to efficiently store and query vector embeddings. You might wonder why you should upgrade from PostgreSQL with pgvector to Timescale Cloud’s AI stack (pgai, pgvectorscale, and pgai Vectorizer). Here’s why:
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Generative AI: A Personal Deep Dive – My Notes and Insights Part-2
pgai
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Just: Just a Command Runner
We recently switched pgai over to just. And are quite happy so far. The hierarchical nature is quite nice: https://github.com/timescale/pgai
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Postgres can do that? No surprise Postgres is everywhere
If pgvector is not enough, pgai streamlines the development of search and Retrieval Augmented Generation (RAG) AI applications directly within PostgreSQL. With pgai, embedding and AI generation models are more tightly integrated into the database. This allows you to perform several tasks directly through SQL queries, including:
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Local AI Knowledge Base with Next.js, Ollama, and PostgreSQL
Postgres for saving chat history and user data
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Semantic Document Search System with pgvector and pgai
pgai through TimescaleDB for AI
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A note from our sponsor - InfluxDB
influxdata.com | 19 Apr 2025
Stats
Basic pgai repo stats
15
4,675
9.8
4 days ago
timescale/pgai is an open source project licensed under PostgreSQL License which is an OSI approved license.
The primary programming language of pgai is PLpgSQL.
Sponsored
InfluxDB high-performance time series database
Collect, organize, and act on massive volumes of high-resolution data to power real-time intelligent systems.
influxdata.com