Contract type: consulting
Client: CredCore Inc.
Role: Senior
Search and AI Engineer
Time period: Oct 2024 – Apr 2025
Volume: ~
1000h
search engines • apache solr • quickwit tantivy • NoSQL • mongodb • llm • gensim • word2vec • cloud infrastructure • amazon ec2 • Python • Linux
Having built an AI-enhanced collection of credit agreements and other legal documents in the domain of corporate credit, CredCore Inc. contracted me to build a search engine to make these accessible to their team of domain experts. I implemented a data model for Apache SolR and Quickwit Tantivy and Python-based ETL software to transform this data from MongoDB to the desired form.
In a separate project, I set up a proof of concept for an LLM-based “chat with a credit agreement” prototype. It utilized retrieval-augmented generation (RAG), reverse RAG, word2vec and doc2vec embeddings provided by the gensim library, and the “annoy” vector search engine.
==> CredCore