We facilitate the quick location of relevant information through agents capable of interpreting and understanding queries in a natural way.
WHAT WE SOLVE
We eliminate wasted time searching through thousands of corporate documents by providing instant semantic search that understands context and intent, not just keywords. We equip search agents with routing capabilities to determine the most relevant collections of information.
We implement vector search engines that index all document repositories in an organized manner, allowing natural language searches and finding relevant information even when it does not contain the exact words searched.
WHAT TECHNOLOGY WE USE
At TIMIA adapt to your technological environments and work with the tools your company already uses. Our team is proficient in leading technologies such as Elasticsearch with embeddings, Chroma DB, Qdrant, embedding models (OpenAI, Cohere, Azure AI Search), OCR for scanned documents, and LlamaIndex for indexing.
FAQs
Eliminate wasted time searching for critical information in thousands of scattered documents. At TIMIA teams to find relevant information in seconds, improving productivity, reducing operational friction, and accelerating decision-making.
Semantic search understands context and intent, not just keywords. This allows you to access accurate information from the first query, reducing rework, errors, and dependence on people who "know where everything is."
Search agents automatically identify which repositories or collections are relevant to each query. This avoids noise, improves the quality of results, and allows the search to be scaled in organizations with large volumes of documents.
By indexing and governing information, the company reduces duplication, errors, and risks associated with using outdated documents. It also improves regulatory compliance and protects critical business knowledge.
TIMIA vector search engines with existing repositories without replacing them, using technologies such as Elasticsearch, Chroma, Qdrant, and LlamaIndex. The result is an intelligent layer on top of existing information that maximizes the return on investment in data.
