Stop teaching your AI
the same codebase.
VecTrieve connects your GitHub directly to high-speed Vector Databases. Give your AI permanent, hyper-contextual memory of your entire enterprise architecture.
Engineered for absolute context.
Traditional LLMs hallucinate when they hit context limits. We built a pipeline that guarantees code-accurate retrieval.
Automated Vector Synchronization
Connect repositories via GitHub Webhooks. Every push automatically triggers an AST-aware chunking pipeline, syncing your code directly into isolated Pinecone namespaces in milliseconds.
Enterprise RBAC
Granular permissions dictate exactly which databases and models each employee can query. Keep sensitive monoliths isolated.
Bring Your Own Key
Route your RAG pipeline through OpenAI, Anthropic, Gemini, or connect directly to your own self-hosted local LLM nodes.
Cross-Database Knowledge Graphs
Ask a question that requires context from the Frontend Repo, the Backend Repo, and the HR PDF manual simultaneously. VecTrieve queries multiple namespaces in parallel and stitches the truth together.
The RAG Data Pipeline
A dynamic, responsive look at how queries are processed.
Developer
"Where is the auth logic?"
VecTrieve Engine
1. Vectorize Query
2. Semantic Search
3. Prompt Injection
Pinecone DB
AST Code Chunks
LLM Gateway
OpenAI / Claude / Local