JetThoughts has been building software since 2008. Book a call, or write to sales@jetthoughts.com. You'll leave the call with a written one-page scope within 2 working days.
A 30-minute call; pick a time.
Building RAG Applications in Rails With pgvector
Retrieval-augmented generation in a Rails app using pgvector and the neighbor gem: schema, chunking, an HNSW index, and why filtering after an approximate index can return too few rows.
· JetThoughts Team
LangChain Memory: Conversation History with Python
How to add memory to LangChain agents. Working Python examples for short-term, long-term, and entity memory. PostgreSQL and Redis persistence. Real production patterns.
· JetThoughts Teampgvector Rails Production Guide: Semantic Search 2025
Build production semantic search in Rails with pgvector and PostgreSQL - no external vector database. Complete tutorial with working code examples and a benchmark you run on your own data.
Tell us what you need built