I wanted to share some updates on Local Deep Research since posting here 12 days ago. Thanks to everyone who gave feedback and suggestions - the project has improved significantly with your input.
Recent improvements:
- Better inline citation: Sources from PubMed, arXiv, Wikipedia, etc. are now properly cited directly in the text
- Improved report structure: Reports now have better organization with logical sections and clearer source attribution
- Added support for multiple research domains: Works well across scientific, historical, economic, and technical topics
- Enhanced search iterations: Now performs multiple rounds of research with follow-up questions for deeper analysis
- More flexible LLM integration: Works with pretty much any model (local via Ollama or cloud-based)
- Expanded search engine options: Easy to add new sources for specialized research
For those who mentioned concerns about report quality and organization - we've made significant improvements in this area. The citation tracking now provides much better provenance information throughout the research pipeline.
I'd also like to thank HashedViking who joined as a contributor and has been improving the UI/UX side of things. We're committed to keeping this as a truly local, privacy-focused tool that doesn't rely on expensive APIs.
For anyone interested in contributing, we're looking for help with:
1. Further improving report organization
2. More local search engines and sources
3. Documentation and examples
4. UI/UX enhancements
5. Testing with different models and research domains
What features would be most useful to you in a research tool like this? We're particularly interested in ideas for better knowledge organization and making the research outputs more valuable.
Recent improvements:
- Better inline citation: Sources from PubMed, arXiv, Wikipedia, etc. are now properly cited directly in the text
- Improved report structure: Reports now have better organization with logical sections and clearer source attribution
- Added support for multiple research domains: Works well across scientific, historical, economic, and technical topics
- Enhanced search iterations: Now performs multiple rounds of research with follow-up questions for deeper analysis - More flexible LLM integration: Works with pretty much any model (local via Ollama or cloud-based)
- Expanded search engine options: Easy to add new sources for specialized research
For those who mentioned concerns about report quality and organization - we've made significant improvements in this area. The citation tracking now provides much better provenance information throughout the research pipeline.
I'd also like to thank HashedViking who joined as a contributor and has been improving the UI/UX side of things. We're committed to keeping this as a truly local, privacy-focused tool that doesn't rely on expensive APIs.
For anyone interested in contributing, we're looking for help with: 1. Further improving report organization 2. More local search engines and sources 3. Documentation and examples 4. UI/UX enhancements 5. Testing with different models and research domains
The project is at: https://github.com/LearningCircuit/local-deep-research/
What features would be most useful to you in a research tool like this? We're particularly interested in ideas for better knowledge organization and making the research outputs more valuable.