Increase context size

The previous chunk size of 512 tokens appeared to be too limiting for a good match on the prompt.

• adopted the threshold on the embeddings match;
• increased chunk size when parsing PDFs to 1,024 tokens;
• other minor bug fixes.

The model appears to be more responsive when prompted with questions that do match the subject matter of tech articles fed in the Vector DB.

Initial Release

First iteration of application:

• support Vector DB searches (Qdrant)
• support Ollama running Llama 3.2 locally
• basic UI for file upload & query
• basic conversation management (in-memory storage)