Tag: embeddings

Showing 1-3 of 3

Apr 13, 20268 min readModel Release BriefIntermediate240 min build

Group-Chat AI with Witness-Based Memory to Reduce Accidental Privacy Leaks

Learn how to build a group-chat AI that 'reads the room' and stores facts only for users who witnessed them. Includes design, prototype steps, and privacy trade-offs.

group-chat privacy witness-memory memory tutorial

+3 more

TutorialsUnited States

Open

Apr 10, 20267 min readAgent PlaybookIntermediate180 min build

RemembrallMCP — Rust-based persistent vector memory for AI agents using Postgres, pgvector and MCP

Hands-on guide to run RemembrallMCP: a Rust service that stores embeddings and metadata in Postgres with pgvector, speaks the MCP protocol, and enables agent recall.

remembrallmcp rust postgres pgvector mcp-protocol

+3 more

embeddings agent-memory knowledge-graph

Model BreakdownsFrance

Open

Mar 12, 20266 min readTooling Deep DiveIntermediate

Isaacus’ Kanon 2: retrieval models, a hierarchical Enricher, and the semchunk chunker

Isaacus offers Kanon 2 Embedder and Reranker for legal retrieval, Kanon 2 Enricher to turn long documents into knowledge graphs, plus semchunk—vendor claims worth piloting.

legal-ai retrieval embeddings knowledge-graphs RAG

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semchunk open-source startup