Results for pgvector-rag

Lightweight RAG toolkit for pgvector — chunking, hybrid search SQL, MMR, RRF, and more. Zero runtime dependencies.

BoneCode — a production-grade AI coding agent with BoneScript-generated backend and pgvector RAG

pgvector support for Node.js, Deno, and Bun (and TypeScript)

PGlite is a WASM Postgres build packaged into a TypeScript client library that enables you to run Postgres in the browser, Node.js and Bun, with no need to install any other dependencies. It is only 3.7mb gzipped.

Postgres provider for Mastra - includes both vector and db storage capabilities

PgVectorRag (PostgreSQL + pgvector) and PgVectorRagProvider for @mcp-abap-adt/llm-agent.

Retrivora AI is a plug-and-play AI engine for RAG chat experiences — generic vector DB + LLM provider, embeddable or standalone.

Production-grade RAG engine for conversational bots — hybrid retrieval (pgvector + BM25), pluggable LLM providers, sales-style prompt composition, hallucination guard, query rewriting.

A a collection of languages stemmers and stopwords for Lunr Javascript library

Postgres-backed long-term memory for the Render agent harness.

The Retrieval-Augmented Generation (RAG) module contains document processing and embedding utilities.

No description provided.

AskDB Studio: local browser UI for Schema v2 enrichment and sample NL-to-SQL checks.

Provides Knowledge Base management, Vector Store, Vector Database (PGVector), and RAG retrieval capabilities for AI Employees.

PostgreSQL pgvector extension pack for Prisma Next.

A rag component for Convex.

프레임워크 비의존 RAG 코어 — Prisma·pgvector, 하이브리드 검색, OpenAI 어댑터.

Unified MCP server: alpha state machine (OMG Essence 1.2) + RAG (PostgreSQL+pgvector) + decisions + audit + sync, per-target backend for ai-driven-sdlc plugin

AskDB RAG layer: deterministic chunker over Schema v2, BYO embedder + vector store (in-memory, file-backed, pgvector), and an optional retriever wired into @askdb/core ask().

A complete Retrieval-Augmented Generation system using pgvector, LangChain, and LangGraph for Node.js applications with dynamic embedding and model providers, structured data queries, and chat history - supports OpenAI, Anthropic, HuggingFace, Azure, Goog

Local semantic codebase search via MCP — indexes projects into pgvector, exposes search to Claude

A agent component for Convex.

LLM integration plugin for PostGraphile v5 — server-side text-to-vector embedding and text companion fields for pgvector columns

Orchestrateur universel agents IA multi-modeles via MCP. Inclut le protocole 'Custom-Nickname' pour identifier vos agents avec des surnoms originaux (The Chaos Prophet, Shadow Sniper, etc.), l'isolation mémoire (Private Memory Context) et le support pour