Two tooling trends collide: PageIndex for reasoning-based RAG [2] and TinqerJS, a LINQ-inspired query builder for TypeScript + Postgres/SQLite [1]. The mashup could reshape how we plan reasoning steps and SQL queries in one stack.
PageIndex uses a pure JSON index to enable reasoning-based RAG without relying on any Vector DBs. That approach sidesteps a dedicated vector store, trading embeddings for a human-readable data structure.
TinqerJS is a LINQ-inspired QueryBuilder for TypeScript + Postgres/SQLite. That makes complex SQL feel more like code in a TS-native style; developers can compose queries with LINQ-like chains and have them translated into Postgres or SQLite.
JSON-first indexing contrasts with vector databases, trading embeddings for a portable, JSON-based store that powers reasoning without a dedicated vector backend [2].
TinqerJS promises easier query composition in TypeScript, but its strength is bounded by the Postgres/SQLite dialects it targets [1].
Cross-engine portability and RAG pipelines • Portability: PageIndex’s JSON index could travel across engines that handle JSON; TinqerJS stays in the Postgres/SQLite lane [1][2]. • RAG pipelines: PageIndex feeds reasoning directly via JSON; TinqerJS helps shape data queries before they hit the database.
Together, JSON indexing and LINQ-inspired builders hint at more pluggable, cross-engine tooling to watch in 2025.
References
Show HN: TinqerJS– LINQ-inspired QueryBuilder for TypeScript + Postgres/SQLite
Show HN for TinqerJS, LINQ-inspired TypeScript query builder targeting Postgres and SQLite, showcasing openness and practical query composition for developers.
View sourceShow HN: PageIndex for Reasoning-Based RAG
Introduces a pure JSON index to support reasoning-based RAG without vector databases; invites feedback.
View source