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JevHunt / Collections / RAG and retrieval

RAG and retrieval — page 5

Retrieval, memory and knowledge-base projects with an optional Jev scoring or filtering step.

121 active projects in this collection. All collections →

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tiny-rag-jev

HyeranPark99/tiny-rag-jev
★ 0

A small RAG web app that visualizes every step of the retrieval-augmented generation pipeline

VerifiedResearchHTMLupdated 2026-09-22
Details →GitHub ↗Documented ↗
V

vibecheck

Neoo-Blue/vibecheck
★ 0

Vibe check before you reply: an Android accessibility overlay that reads the chat on screen and judges the turn with TypeSafe Jev, with per-person memory and RL on the phone

VerifiedJev applicationKotlinupdated 2026-09-27
Details →GitHub ↗Documented ↗
3

36_chambers

Bonzokoles/36_chambers
★ 0

Federated knowledge retrieval engine for AI agents. Routes queries across specialized backends (FTS5, ChromaDB, graph) via a registry-first orchestrator with TypeSafe/Jev AI routing and evidence re-ranking. Read-only by default, security-gated by design.

VerifiedResearchPythonupdated 2026-09-24
Details →GitHub ↗Documented ↗
B

browserjev

hermespromox/browserjev
★ 0

Low-memory autonomous web classification with HTTPX, Lightpanda and Jev

VerifiedJev applicationPythonupdated 2026-09-20
Details →GitHub ↗Documented ↗
D

dsh-memory-jev

Towzai/dsh-memory-jev
★ 0

Memory plugin for DeepSeek Harness: every memory read/write is a typed judgement by TypeSafe Jev (choice/noul).

VerifiedIntegrationJavaScriptupdated 2026-09-20
Details →GitHub ↗Documented ↗
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jev_rag

aijnek/jev_rag
★ 0

RAGのretrievalにTypeSafe APIを使うアイデアの実装

ResearchHTMLupdated 2026-09-20
Details →GitHub ↗Code reference ↗
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jev-corrective-rag

sudeshkar/jev-corrective-rag
★ 0

Corrective RAG where every decision gate is a typed System One model call instead of an LLM judge. 7x fewer LLM calls, 4x lower p50 latency.

VerifiedJev applicationPythonupdated 2026-09-21
Details →GitHub ↗Documented ↗
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jev-graph-walk

timsamart/jev-graph-walk
★ 0

Context-carrying graph retrieval with Jev: branching walks, reproducible ablations, and a visual replay.

VerifiedResearchPythonupdated 2026-09-20
Details →GitHub ↗Documented ↗
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jev-tree-memory

Pizzawookiee/jev-tree-memory
★ 0

TypeSafe’s Jev AI + an n-ary memory tree = efficient agentic memory routing and retrieval.

VerifiedResearchPythonupdated 2026-09-21
Details →GitHub ↗Documented ↗
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PageLens

smit153/PageLens
★ 0

Semantic search for webpages using TypeSafe AI's Jev typed decision model. Find relevant passages even when your query doesn't match the exact words on the page.

VerifiedJev applicationTypeScriptupdated 2026-09-20
Details →GitHub ↗Documented ↗
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rag-jev

Nixz0824/rag-jev
★ 0

国服《英雄联盟》版本更新公告的本地 RAG 问答:数字只来自公告,Jev(TypeSafe System One)负责候选重排与回答自检

VerifiedJev applicationPythonupdated 2026-09-21
Details →GitHub ↗Documented ↗
R

remember-me

leonininder/remember-me
★ 0

Agent memory that decides what to hydrate — local topology recall + TypeSafe Jev gates (not another dump-everything store).

VerifiedJev applicationPythonupdated 2026-09-27
Details →GitHub ↗Documented ↗
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jev-lint

vayungodara/jev-lint
★ 0

Lint a Markdown knowledge base (Obsidian vault or LLM wiki) for contradictions, stale claims, unresolved markers and missing pages, using TypeSafe Jev

VerifiedJev applicationPythonupdated 2026-09-19
Details →GitHub ↗Documented ↗
R

rag-gate

dtjohnson83/rag-gate
★ 0

RAG Gatekeeper — TypeSafe chunk score/filter before LLM

Jev applicationTypeScriptupdated 2026-09-17
Details →GitHub ↗Documented ↗
S

S_RAG

shrimaanshreyash/S_RAG
★ 0

Evidence-aware local RAG and HandoffProof: controlled causal testing for operational handovers, with optional TypeSafe/Jev evidence governance.

VerifiedIntegrationPythonupdated 2026-09-17
Details →GitHub ↗Documented ↗
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memware

ericwalisko/memware
★ 0

Memory for AI agents that only remembers the latest truth: a bi-temporal belief ledger + transcript index in one SQLite file.

VerifiedJev applicationPythonupdated 2026-09-29
Details →GitHub ↗Documented ↗
A

ai-eval-platform

storytellingengineer/ai-eval-platform
★ 0

AI Eval Platform — an evaluation and quality-engineering layer for LLM, RAG and agentic systems, with production observability integrations.

VerifiedResearchPythonupdated 2026-09-27
Details →GitHub ↗Documented ↗
L

lulu-harness

Agostynah/lulu-harness
★ 0

Adaptive memory routing for agent harnesses -- a router that decides which memory shards to contact by cost, confidence, and access scope, carried by a real agent harness.

Jev applicationPythonupdated 2026-09-25
Details →GitHub ↗Code reference ↗
M

memriver

path-pass/memriver
★ 0

Shared memory layer for coding agents across harnesses (Claude Code / Codex / Cursor / Kiro), exposed via MCP

VerifiedJev applicationPythonupdated 2026-09-30
Details →GitHub ↗Documented ↗
M

Manufacturing-Assistant-Agent-Framework

SophiaSama/Manufacturing-Assistant-Agent-Framework
★ 0

A framework for generic RAG in enterprise environment

Jev applicationPythonupdated 2026-09-27
Details →GitHub ↗Documented ↗
D

DarkForest

54k41/DarkForest
★ 0

Chatbot web em um único arquivo HTML com roteamento de modelos via Jev (modos Pro e Lite) e RAG vetorial com embeddings do Google Gemini

VerifiedJev applicationHTMLupdated 2026-09-25
Details →GitHub ↗Documented ↗
W

wiki

Cornell-Physical-Intelligence/wiki
★ 0

CUPI Wiki — internal knowledge base of Cornell Physical Intelligence (CUPI), a Cornell University student robotics organization.

VerifiedIntegrationJavaScriptupdated 2026-09-27
Details →GitHub ↗Documented ↗
S

Supplier-Flow-RAG

ckyong826/Supplier-Flow-RAG
★ 0

AI Powered Automation B2B Wholesaler Website

Jev applicationTypeScriptupdated 2026-09-21
Details →GitHub ↗Documented ↗
T

talk-to-your-github-stars

mheers/talk-to-your-github-stars
★ 0

A small, fast Go TUI for chatting with your starred GitHub repositories. It downloads your stars, stores structured metadata + READMEs in SQLite, creates embeddings, and runs a local RAG-style chat so you can ask things like *“I’m building a Go OAuth server—what libraries do I have starred?”*.

VerifiedIntegrationGoupdated 2026-09-22
Details →GitHub ↗Documented ↗
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