GraphRAG 4

Graph database for connected, stateful AI context and agent memory HydraDB is an open-source, native graph database designed as an AI context infrastructure layer for agent memory, ontologies, company brains, GraphRAG, and connected application data. Built directly on object storage, it combines graph traversal, vector search integrations, exact-match search, temporal versioning, and structured relationships to help AI systems retrieve precise, relevant context. HydraDB provides multi-tenant storage, strongly consistent queries, tiered storage across memory, NVMe SSD, and object storage, sub-200ms latency, OpenCypher support, Neo4j-compatible Bolt connectivity, and HTTP APIs.

Lettria transforms unstructured data into structured knowledge using AI and GraphRAG. Lettria is an AI-powered platform that transforms unstructured data into structured knowledge, enabling smarter, context-rich decision-making. It offers a GraphRAG solution for enterprise GenAI, increasing RAG accuracy. The platform bridges the gap between tech experts and non-tech teams with its no-code interface, fostering collaboration for faster insights. Lettria's Knowledge Studio processes documents and data, delivering verifiable answers and transparent AI.

Knowledge graph for precise AI coding-agent codebase context GitNexus is an open-source knowledge graph engine by Akon Labs that indexes codebases into a deterministic graph of dependencies, callers, imports, call chains, execution flows, clusters, and cross-repository relationships. It connects to coding agents through MCP, allowing them to query structured code context instead of relying only on file searches, embeddings, or similarity guesses. GitNexus supports impact analysis, blast-radius detection, git-diff analysis, architecture discovery, hybrid search, and multi-repository graph analysis. Its local version keeps code, indexing, and queries on the user's machine, while Enterprise provides managed SaaS or self-hosted deployments with features such as automated PR review, auto-reindexing, unified multi-repo graphs, SSO, and dedicated support.

Diagram-to-code platform transforming validated backend architectures into deterministic code. Solarch is a diagram-to-code backend architecture platform powered by a strict, default-deny rules engine. It turns backend architecture into a live node and edge graph, validating structural connections as they are drawn to eliminate architectural drift. Once validated against canonical design patterns through GraphRAG and LangGraph, the platform uses a hybrid code engine to compile the graph into a deterministic skeleton with zero tokens before leveraging a surgical AI to fill empty function bodies. This guarantees type-safe development from the database schema up to the user interface contract.