Product
AI Knowledge Assistant
A LangChain and vector database-powered assistant that connects with documents, Google Drive, and business data.
Best for
Teams whose answers are buried in documents and internal data
- Python
- LangChain
- Pinecone
- Claude AI
- Google Drive API
Why it exists
Every organization has the same problem: the answer exists, but it's in a document nobody can find. The AI Knowledge Assistant connects an LLM to your actual knowledge — Google Drive files, internal documents, and structured business data — so people ask questions in plain language and get grounded, sourced answers.
A sync pipeline keeps the vector index current as documents change, retrieval is scoped to what each user is allowed to see, and prompts constrain the model to retrieved context. The result is an assistant that answers from your data, not from imagination.
Core capabilities
01
Live document sync
Incremental Google Drive synchronization that re-indexes only changed files, keeping answers current without manual work.
02
Grounded retrieval
Vector search over Pinecone combined with structured data lookups, with responses constrained to retrieved context.
03
Per-user scoping
Access-aware retrieval so users only ever get answers from data they are permitted to see.
04
Pluggable model layer
Claude-first integration with a clean abstraction for swapping or combining models as needs evolve.
Want this running for your business?
Every deployment is tailored — let's talk about your workflows, your scale, and what this foundation becomes for you.