Conversation
- Create docs/configuration-guide.md with detailed guidance on: - Embedding model selection (small/medium/large) - Index selection (HNSW vs DiskANN) - LLM engine and model comparison - Parameter tuning (build/search complexity, top-k) - Performance optimization tips - Deep dive into LEANN's recomputation feature - Update README.md to link to the configuration guide - Include latest 2025 model recommendations (Qwen3, DeepSeek-R1, O3-mini)
- Change backend description to emphasize HNSW as default - DiskANN positioned as optional for billion-scale datasets - Simplify evaluation commands to be more generic
- features.md: Put HNSW/FAISS first as default, DiskANN as optional - roadmap.md: Reorder to show HNSW integration before DiskANN - Consistent with positioning DiskANN as advanced option for large-scale use
yichuan-w
reviewed
Aug 5, 2025
| --top-k 30 # Retrieve more candidates | ||
| ``` | ||
|
|
||
| 2. **Tune chunk size for your content**: |
Collaborator
There was a problem hiding this comment.
delete this , not correct
Collaborator
Author
There was a problem hiding this comment.
you mean tuning chunk size?
- List specific files in default data/ directory (2 AI papers, literature, tech report) - Update examples to use English and better RAG-suitable queries - Change full dataset reference to use --max-items -1 - Adjust small model guidance about upgrading to larger models when time allows - Update top-k defaults to reflect actual default of 20 - Ensure consistent use of full model name Qwen/Qwen3-Embedding-0.6B - Reorder optimization steps, move MLX to third position - Remove incorrect chunk size tuning guidance - Change README from 'Having trouble' to 'Need best practices'
- Fix grammar: 'If time is not a constraint' instead of 'time expense is not large' - Highlight Qwen3-Embedding-0.6B performance (nearly OpenAI API level) - Add OpenAI quick start section with configuration example - Fold Cloud vs Local trade-offs into collapsible section - Update HNSW as 'default and recommended for extreme low storage' - Add DiskANN beta warning and explain PQ+rerank architecture - Expand Ollama models: add qwen3:0.6b, 4b, 7b variants - Note OpenAI as current default but recommend Ollama switch - Add 'need to install extra software' warning for Ollama - Remove incorrect latency numbers from search-complexity recommendations
This file contains hidden or bidirectional Unicode text that may be interpreted or compiled differently than what appears below. To review, open the file in an editor that reveals hidden Unicode characters.
Learn more about bidirectional Unicode characters
Sign up for free
to join this conversation on GitHub.
Already have an account?
Sign in to comment
2 participants
Add this suggestion to a batch that can be applied as a single commit.This suggestion is invalid because no changes were made to the code.Suggestions cannot be applied while the pull request is closed.Suggestions cannot be applied while viewing a subset of changes.Only one suggestion per line can be applied in a batch.Add this suggestion to a batch that can be applied as a single commit.Applying suggestions on deleted lines is not supported.You must change the existing code in this line in order to create a valid suggestion.Outdated suggestions cannot be applied.This suggestion has been applied or marked resolved.Suggestions cannot be applied from pending reviews.Suggestions cannot be applied on multi-line comments.Suggestions cannot be applied while the pull request is queued to merge.Suggestion cannot be applied right now. Please check back later.
No description provided.