Viewing profile — gkorland

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If you want to read more about it check https://www.falkordb.com/blog/beyond-in-memory-graphs/

ActiveGraph.ai v1.2.0 is live * Graph projection is now pluggable falkordb = native edges + cypher pushdown * 2-hop query: ~8.9s → ~300ms * community-built core arc

graphify is a great project you should try it with FalkorDB. ``` /graphify ./raw --falkordb # generate cypher.txt for FalkorDB /graphify ./raw --falkordb-push falkordb://localhost:…

Where do you store the Knowledge Graph? Are you supporting any Graph Database like FalkorDB?

Did you consider using a Graph Database? e.g. FalkorDB? If you want to keep it lite we released a lite version that can run embedded in your nodejs.

That’s exactly why we released FalkorDBLite,an embedded graph engine designed for local, edge, and GenAI use cases (GraphRAG, agentic memory, semantic layers, code graphs, etc.). h…

Nice! Do you plan to add support for other Graph Database (e.g. FalkorDB)?

We're building an open-source Text2SQL tool that transforms natural language into SQL using graph-powered schema understanding. Allowing you to ask your database questions in plain…

can you share a link?

The fact that GQL is now supported by some of the relational Database, doesn't mean they'll become an alternative to native Graph Databases.

You should check FalkorDB https://github.com/falkordb/falkordb

Did you try to run redis-benchmark? (Compared to Redis)

We built QueryWeaver exactly to solve those pain points—SQL generation that actually understands your business context and keeps the conversation alive across follow-ups. The graph…

You can find the release notes here: https://github.com/FalkorDB/FalkorDB/releases/tag/v4.10.0

Much more than that, FalkorDB added many features on top of RedisGraph.

Your graph DB frustrations mirror what many experienced with Neo4j. If you refresh your project, consider including FalkorDB (formerly RedisGraph) - it uses sparse adjacency matric…

The QirK paper is super interesting https://arxiv.org/pdf/2408.07494 . We took that one step further with the GraphRAG-SDK - https://github.com/FalkorDB/GraphRAG-SDK

It practically supports every models out there, LiteLLM supports over 100 large language model services, including OpenAI, Claude, Gemini, WatsonsX, Mistral, Azure OpenAI, Sagemake…

We're excited about this version which add support for LiteLLM https://github.com/BerriAI/litellm . With LiteLLM the application can easily switch between different models to pick …

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