#vector-database

Articles tagged with #vector-database

A Practical Guide to AI Agent Memory Architecture
This article was originally published by Actian for Developers on DEV. An LLM application holds state in exactly one place by default, the context window. That window is rebuilt from scratch on every
Oct 11, 202612 min read4
Build a self-improving GPT-6 Astra coding agent with codebase memory
This article was originally published on the Actian blog. Read the original here. GPT-6 Astra keeps context inside a response chain. In the Responses API, previous_response_id links each response t
Oct 6, 202620 min read1
How to self-host mem0 with a local vector store
If you've used mem0 and discovered it calls OpenAI by default, the fix is three configuration values. mem0's Memory() class is cloud-by-default. It calls OpenAI for fact extraction, calls OpenAI again
Sep 2, 202612 min read3
How to Set Up LangChain with VectorAI DB for On-Prem RAG
You do not need to rewrite your LangChain RAG pipeline to move its vector store on-premises. LangChain's VectorStore abstraction separates the retrieval chain from the database that stores your embedd
Aug 30, 202613 min read15
Build an OpenClaw Memory Plugin with Actian VectorAI DB
Context compaction is a common failure point for most OpenClaw memory systems. When the context window fills, OpenClaw compacts the session to make room for new messages. Any memory operations that we
Jul 15, 202614 min read17