2088e450389171838b67331fc06b6be7ee565485
16 Commits
| Author | SHA1 | Message | Date | |
|---|---|---|---|---|
aakash
|
5c7210d6d1 |
feat: Add MCP integration support for Slack and Twitter
- Implement SlackMCPReader for connecting to Slack MCP servers - Implement TwitterMCPReader for connecting to Twitter MCP servers - Add SlackRAG and TwitterRAG applications with full CLI support - Support live data fetching via Model Context Protocol (MCP) - Add comprehensive documentation and usage examples - Include connection testing capabilities with --test-connection flag - Add standalone tests for core functionality - Update README with detailed MCP integration guide Resolves #36 |
||
|
aakash
|
5219370019 |
feat: Add iMessage RAG support
- Implement IMessageReader for parsing macOS Messages database - Add IMessageRAG application with conversation grouping - Support both concatenated conversations and individual messages - Include comprehensive README documentation with setup instructions - Handle Cocoa timestamp conversion and contact name formatting - Add Full Disk Access requirements and troubleshooting tips Resolves #126 |
||
|
aakash
|
f1355b70d8 |
Fix linting issues: remove unused loop variables
- Remove unused 'i' variable from enumerate() in chatgpt_reader.py - Remove unused 'i' variable from enumerate() in claude_reader.py - All ruff checks now pass |
||
|
aakash
|
2dd4147de2 |
Add Claude RAG support - resolves #100
- Implement ClaudeReader for parsing JSON exports from Claude - Add claude_rag.py following BaseRAGExample pattern - Support both concatenated conversations and individual messages - Handle multiple JSON formats and structures - Include comprehensive error handling and user guidance - Add metadata extraction (titles, timestamps, roles) - Integrate with existing LEANN chunking and embedding systems Features: ✅ JSON parsing from Claude exports ✅ ZIP file extraction support ✅ Multiple JSON format support (list, single object, wrapped) ✅ Conversation detection and structuring ✅ Message role identification (user/assistant) ✅ Metadata extraction and preservation ✅ Dual processing modes (concatenated/separate) ✅ Command-line interface with all LEANN options ✅ Comprehensive error handling ✅ Multiple input format support (.json, .zip, directories) Usage: python -m apps.claude_rag --export-path claude_export.json python -m apps.claude_rag --export-path claude_export.zip --query 'Python help' |
||
|
aakash
|
be17980114 |
Add ChatGPT RAG support - resolves #40
- Implement ChatGPTReader for parsing HTML/ZIP exports from ChatGPT - Add chatgpt_rag.py following BaseRAGExample pattern - Support both concatenated conversations and individual messages - Handle multiple input formats (.html, .zip, directories) - Include comprehensive error handling and user guidance - Add metadata extraction (titles, timestamps, roles) - Integrate with existing LEANN chunking and embedding systems Features: ✅ HTML parsing from ChatGPT exports ✅ ZIP file extraction support ✅ Conversation detection and structuring ✅ Message role identification (user/assistant) ✅ Metadata extraction and preservation ✅ Dual processing modes ✅ Command-line interface with all LEANN options ✅ Comprehensive error handling ✅ Multiple input format support Usage: python -m apps.chatgpt_rag --export-path chatgpt_export.html python -m apps.chatgpt_rag --export-path chatgpt_export.zip --query 'Python help' |
||
|
Andy Lee
|
e93c0dec6f |
[Fix] Enable AST chunking when installed (package chunking utils) (#101)
* fix(core): package chunking utils for AST chunking; re-export in apps; CLI imports packaged utils * style * chore: fix ruff warnings (RUF059, F401) * style |
||
|
yichuan520030910320
|
4e5b73ce7b | fix bug introduce in #58 | ||
|
Yichuan Wang
|
dde2221513 |
[EXP] Update the benchmark code (#71)
* chore(hnsw): reorder imports to satisfy ruff I001 * chore: sync changes; fix Ruff import order; update examples, benchmarks, and dependencies - Fix import order in packages/leann-backend-hnsw/leann_backend_hnsw/hnsw_backend.py (Ruff I001) - Update benchmarks/run_evaluation.py - Update apps/base_rag_example.py and leann-core API usage - Add benchmarks/data/README.md - Update uv.lock - Misc cleanup - Note: added paru-bin as an embedded git repo; consider making it a submodule (git rm --cached paru-bin) if unintended * chore: remove unintended embedded repo paru-bin and ignore it Fix CI: avoid missing .gitmodules entry by removing gitlink and adding to .gitignore. * ci: retrigger after removing unintended gitlink (paru-bin) * feat(benchmarks): add --batch-size option and plumb through to HNSW search (default 0) * feat(hnsw): add batch_size to LeannSearcher.search and LeannChat.ask; forward only for HNSW backend * chore(logging): surface recompute and batching params; enable INFO logging in benchmark * feat(embeddings): add optional manual tokenization path (HF tokenizer+model) with mean pooling; default remains SentenceTransformer.encode * fix micro bench and fix pre commit * update readme --------- Co-authored-by: yichuan-w <yichuan-w@users.noreply.github.com> |
||
|
Gabriel Dehan
|
13bb561aad |
Add AST-aware code chunking for better code understanding (#58)
* feat(core): Add AST-aware code chunking with astchunk integration This PR introduces intelligent code chunking that preserves semantic boundaries (functions, classes, methods) for better code understanding in RAG applications. Key Features: - AST-aware chunking for Python, Java, C#, TypeScript files - Graceful fallback to traditional chunking for unsupported languages - New specialized code RAG application for repositories - Enhanced CLI with --use-ast-chunking flag - Comprehensive test suite with integration tests Technical Implementation: - New chunking_utils.py module with enhanced chunking logic - Extended base RAG framework with AST chunking arguments - Updated document RAG with --enable-code-chunking flag - CLI integration with proper error handling and fallback Benefits: - Better semantic understanding of code structure - Improved search quality for code-related queries - Maintains backward compatibility with existing workflows - Supports mixed content (code + documentation) seamlessly Dependencies: - Added astchunk and tree-sitter parsers to pyproject.toml - All dependencies are optional - fallback works without them Testing: - Comprehensive test suite in test_astchunk_integration.py - Integration tests with document RAG - Error handling and edge case coverage Documentation: - Updated README.md with AST chunking highlights - Added ASTCHUNK_INTEGRATION.md with complete guide - Updated features.md with new capabilities * Refactored chunk utils * Remove useless import * Update README.md * Update apps/chunking/utils.py Co-authored-by: Copilot <175728472+Copilot@users.noreply.github.com> * Update apps/code_rag.py Co-authored-by: Copilot <175728472+Copilot@users.noreply.github.com> * Fix issue * apply suggestion from @Copilot Co-authored-by: Copilot <175728472+Copilot@users.noreply.github.com> * Fixes after pr review * Fix tests not passing * Fix linter error for documentation files * Update .gitignore with unwanted files --------- Co-authored-by: Copilot <175728472+Copilot@users.noreply.github.com> Co-authored-by: Andy Lee <andylizf@outlook.com> |
||
|
Andy Lee
|
838ade231e |
🔗 Auto-register apps: Universal index discovery (#64)
* feat: Enhance CLI with improved list and smart remove commands ## ✨ New Features ### 🏠 Enhanced `leann list` command - **Better UX**: Current project shown first with clear separation - **Visual improvements**: Icons (🏠/📂), better formatting, size info - **Smart guidance**: Context-aware usage examples and getting started tips ### 🛡️ Smart `leann remove` command - **Safety first**: Always shows ALL matching indexes across projects - **Intelligent handling**: - Single match: Clear location display with cross-project warnings - Multiple matches: Interactive selection with final confirmation - **Prevents accidents**: No more deleting wrong indexes due to name conflicts - **User-friendly**: 'c' to cancel, clear visual hierarchy, detailed info ### 🔧 Technical improvements - **Clean logging**: Hide debug messages for better CLI experience - **Comprehensive search**: Always scan all projects for transparency - **Error handling**: Graceful handling of edge cases and user input ## 🎯 Impact - **Safer**: Eliminates risk of accidental index deletion - **Clearer**: Users always know what they're operating on - **Smarter**: Automatic detection and handling of common scenarios 🤖 Generated with [Claude Code](https://claude.ai/code) Co-Authored-By: Claude <noreply@anthropic.com> * chore: vscode ruff, and format --------- Co-authored-by: Claude <noreply@anthropic.com> |
||
|
Andy Lee
|
fafdf8fcbe |
feat(core,diskann): robust embedding server (no-hang) + DiskANN fast mode (graph partition) (#29)
* feat: Add graph partition support for DiskANN backend - Add GraphPartitioner class for advanced graph partitioning - Add partition_graph_simple function for easy-to-use partitioning - Add pybind11 dependency for C++ executable building - Update __init__.py to export partition functions - Include test scripts for partition functionality The partition functionality allows optimizing disk-based indices for better search performance and memory efficiency. * chore: Update DiskANN submodule to latest with graph partition tools - Update DiskANN submodule to commit b2dc4ea - Includes graph partition tools and CMake integration - Enables graph partitioning functionality in DiskANN backend * merge * ruff * add a path related fix * fix: always use relative path in metadata * docs: tool cli install * chore: more data * fix: diskann building and partitioning * tests: diskann and partition * docs: highlight diskann readiness and add performance comparison * docs: add ldg-times parameter for diskann graph locality optimization * fix: update pre-commit ruff version and format compliance * fix: format test files with latest ruff version for CI compatibility * fix: pin ruff version to 0.12.7 across all environments - Pin ruff==0.12.7 in pyproject.toml dev dependencies - Update CI to use exact ruff version instead of latest - Add comments explaining version pinning rationale - Ensures consistent formatting across local, CI, and pre-commit * fix: use uv tool install for ruff instead of uv pip install - uv tool install is the correct way to install CLI tools like ruff - uv pip install --system is for Python packages, not tools * debug: add detailed logging for CI path resolution debugging - Add logging in DiskANN embedding server to show metadata_file_path - Add debug logging in PassageManager to trace path resolution - This will help identify why CI fails to find passage files * fix: force install local wheels in CI to prevent PyPI version conflicts - Change from --find-links to direct wheel installation with --force-reinstall - This ensures CI uses locally built packages with latest source code - Prevents uv from using PyPI packages with same version number but old code - Fixes CI test failures where old code (without metadata_file_path) was used Root cause: CI was installing leann-backend-diskann v0.2.1 from PyPI instead of the locally built wheel with same version number. * debug: add more CI diagnostics for DiskANN module import issue - Check wheel contents before and after auditwheel repair - Verify _diskannpy module installation after pip install - List installed package directory structure - Add explicit platform tag for auditwheel repair This helps diagnose why ImportError: cannot import name '_diskannpy' occurs * fix: remove invalid --plat argument from auditwheel repair - Remove '--plat linux_x86_64' which is not a valid platform tag - Let auditwheel automatically determine the correct platform - Based on CI output, it will use manylinux_2_35_x86_64 This was causing auditwheel repair to fail, preventing proper wheel repair * fix: ensure CI installs correct Python version wheel packages - Use --find-links with --no-index to let uv select correct wheel - Prevents installing wrong Python version wheel (e.g., cp310 for Python 3.11) - Fixes ImportError: _diskannpy.cpython-310-x86_64-linux-gnu.so in Python 3.11 The issue was that *.whl glob matched all Python versions, causing uv to potentially install a cp310 wheel in a Python 3.11 environment. * fix: ensure venv uses correct Python version from matrix - Explicitly specify Python version when creating venv with uv - Prevents mismatch between build Python (e.g., 3.10) and test Python - Fixes: _diskannpy.cpython-310-x86_64-linux-gnu.so in Python 3.11 error The issue: uv venv was defaulting to Python 3.11 regardless of matrix version * fix: resolve dependency issues in CI package installation - Ubuntu: Install all packages from local builds with --no-index - macOS: Install core packages from PyPI, backends from local builds - Remove --no-index for macOS backend installation to allow dependency resolution - Pin versions when installing from PyPI to ensure consistency Fixes error: 'leann-core was not found in the provided package locations' * fix: Python 3.9 compatibility - replace Union type syntax - Replace 'int | None' with 'Optional[int]' everywhere - Replace 'subprocess.Popen | None' with 'Optional[subprocess.Popen]' - Add Optional import to all affected files - Update ruff target-version from py310 to py39 - The '|' syntax for Union types was introduced in Python 3.10 (PEP 604) Fixes TypeError: unsupported operand type(s) for |: 'type' and 'NoneType' * ci: build all packages on all platforms; install from local wheels only - Build leann-core and leann on macOS too - Install all packages via --find-links and --no-index across platforms - Lower macOS MACOSX_DEPLOYMENT_TARGET to 12.0 for wider compatibility This ensures consistency and avoids PyPI drift while improving macOS compatibility. * ci: allow resolving third-party deps from index; still prefer local wheels for our packages - Remove --no-index so numpy/scipy/etc can be resolved on Python 3.13 - Keep --find-links to force our packages from local dist Fixes: dependency resolution failure on Ubuntu Python 3.13 (numpy missing) * ci(macOS): set MACOSX_DEPLOYMENT_TARGET back to 13.3 - Fix build failure: 'sgesdd_' only available on macOS 13.3+ - Keep other CI improvements (local builds, find-links installs) * fix(py39): replace union type syntax in chat.py - validate_model_and_suggest: str | None -> Optional[str] - OpenAIChat.__init__: api_key: str | None -> Optional[str] - get_llm: dict[str, Any] | None -> Optional[dict[str, Any]] Ensures Python 3.9 compatibility for CI macOS 3.9. * style: organize imports per ruff; finish py39 Optional changes - Fix import ordering in embedding servers and graph_partition_simple - Remove duplicate Optional import - Complete Optional[...] replacements * fix(py39): replace remaining '| None' in diskann graph_partition (module-level function) * fix(py39): remove zip(strict=...) usage in api; Python 3.9 compatibility * style: organize imports; fix process-group stop for embedding server * chore: keep embedding server stdout/stderr visible; still use new session and pg-kill on stop * fix: add timeout to final wait() in stop_server to prevent infinite hang * fix: prevent hang in CI by flushing print statements and redirecting embedding server output - Add flush=True to all print statements in convert_to_csr.py to prevent buffer deadlock - Redirect embedding server stdout/stderr to DEVNULL in CI environment (CI=true) - Fix timeout in embedding_server_manager.stop_server() final wait call * fix: resolve CI hanging by removing problematic wait() in stop_server * fix: remove hardcoded paths from MCP server and documentation * feat: add CI timeout protection for tests * fix: skip OpenAI test in CI to avoid failures and API costs - Add CI skip for test_document_rag_openai - Test was failing because it incorrectly used --llm simulated which isn't supported by document_rag.py * feat: add simulated LLM option to document_rag.py - Add 'simulated' to the LLM choices in base_rag_example.py - Handle simulated case in get_llm_config() method - This allows tests to use --llm simulated to avoid API costs * feat: add comprehensive debugging capabilities with tmate integration 1. Tmate SSH Debugging: - Added manual workflow_dispatch trigger with debug_enabled option - Integrated mxschmitt/action-tmate@v3 for SSH access to CI runner - Can be triggered manually or by adding [debug] to commit message - Detached mode with 30min timeout, limited to actor only - Also triggers on test failure when debug is enabled 2. Enhanced Pytest Output: - Added --capture=no to see real-time output - Added --log-cli-level=DEBUG for maximum verbosity - Added --tb=short for cleaner tracebacks - Pipe output to tee for both display and logging - Show last 20 lines of output on completion 3. Environment Diagnostics: - Export PYTHONUNBUFFERED=1 for immediate output - Show Python/Pytest versions at start - Display relevant environment variables - Check network ports before/after tests 4. Diagnostic Script: - Created scripts/diagnose_hang.sh for comprehensive system checks - Shows processes, network, file descriptors, memory, ZMQ status - Automatically runs on timeout for detailed debugging info This allows debugging CI hangs via SSH when needed while providing extensive logging by default. * fix: add diagnostic script (force add to override .gitignore) The diagnose_hang.sh script needs to be in git for CI to use it. Using -f to override *.sh rule in .gitignore. * test: investigate hanging [debug] * fix: move tmate debug session inside pytest step to avoid hanging The issue was that tmate was placed before pytest step, but the hang occurs during pytest execution. Now tmate starts inside the test step and provides connection info before running tests. * debug: trigger tmate debug session [debug] * fix: debug variable values and add commit message [debug] trigger - Add debug output to show variable values - Support both manual trigger and [debug] in commit message * fix: force debug mode for investigation branch - Auto-enable debug mode for debug/clean-state-investigation branch - Add more debug info to troubleshoot trigger issues - This ensures tmate will start regardless of trigger method * fix: use github.head_ref for PR branch detection For pull requests, github.ref is refs/pull/N/merge, but github.head_ref contains the actual branch name. This should fix debug mode detection. * fix: FORCE debug mode on - no more conditions Just always enable debug mode on this branch. We need tmate to work for investigation! * fix: improve tmate connection info retrieval - Add proper wait and retry logic for tmate initialization - Tmate needs time to connect to servers before showing SSH info - Try multiple times with delays to get connection details * fix: ensure OpenMP is found during DiskANN build on macOS - Add OpenMP environment variables directly in build step - Should fix the libomp.dylib not found error on macOS-14 * fix: simplify macOS OpenMP configuration to match main branch - Remove complex OpenMP environment variables - Use simplified configuration from working main branch - Remove redundant OpenMP setup in DiskANN build step - Keep essential settings: OpenMP_ROOT, CMAKE_PREFIX_PATH, LDFLAGS, CPPFLAGS 🤖 Generated with [Claude Code](https://claude.ai/code) Co-Authored-By: Claude <noreply@anthropic.com> * fix: revert DiskANN submodule to stable version The debug branch had updated DiskANN submodule to a version with hardcoded OpenMP paths that break macOS 13 builds. This reverts to the stable version used in main branch. 🤖 Generated with [Claude Code](https://claude.ai/code) Co-Authored-By: Claude <noreply@anthropic.com> * fix: update faiss submodule to latest stable version 🤖 Generated with [Claude Code](https://claude.ai/code) Co-Authored-By: Claude <noreply@anthropic.com> * refactor: remove upterm/tmate debug code and clean CI workflow - Remove all upterm/tmate SSH debugging infrastructure - Restore clean CI workflow from main branch - Remove diagnostic script that was only for SSH debugging - Keep valuable DiskANN and HNSW backend improvements This provides a clean base to add targeted pytest hang debugging without the complexity of SSH sessions. 🤖 Generated with [Claude Code](https://claude.ai/code) Co-Authored-By: Claude <noreply@anthropic.com> * debug: increase timeouts to 600s for comprehensive hang investigation - Increase pytest timeout from 300s to 600s for thorough testing - Increase import testing timeout from 60s to 120s - Allow more time for C++ extension loading (faiss/diskann) - Still provides timeout protection against infinite hangs This gives the system more time to complete imports and tests while still catching genuine hangs that exceed reasonable limits. 🤖 Generated with [Claude Code](https://claude.ai/code) Co-Authored-By: Claude <noreply@anthropic.com> * fix: remove debug_enabled parameter from build-and-publish workflow - Remove debug_enabled input parameter that no longer exists in build-reusable.yml - Keep workflow_dispatch trigger but without debug options - Fixes workflow validation error: 'debug_enabled is not defined' 🤖 Generated with [Claude Code](https://claude.ai/code) Co-Authored-By: Claude <noreply@anthropic.com> * debug: fix YAML syntax and add post-pytest cleanup monitoring - Fix Python code formatting in YAML (pre-commit fixed indentation issues) - Add comprehensive post-pytest cleanup monitoring - Monitor for hanging processes after test completion - Focus on teardown phase based on previous hang analysis This addresses the root cause identified: hang occurs after tests pass, likely during cleanup/teardown of C++ extensions or embedding servers. 🤖 Generated with [Claude Code](https://claude.ai/code) Co-Authored-By: Claude <noreply@anthropic.com> * debug: add external process monitoring and unbuffered output for precise hang detection * fix * feat: add comprehensive hang detection for pytest CI debugging - Add Python faulthandler integration with signal-triggered stack dumps - Implement periodic stack dumps at 5min and 10min intervals - Add external process monitoring with SIGUSR1 signal on hang detection - Use debug_pytest.py wrapper to capture exact hang location in C++ cleanup - Enhance CPU stability monitoring to trigger precise stack traces This addresses the persistent pytest hanging issue in Ubuntu 22.04 CI by providing detailed stack traces to identify the exact code location where the hang occurs during test cleanup phase. 🤖 Generated with [Claude Code](https://claude.ai/code) Co-Authored-By: Claude <noreply@anthropic.com> * CI: move pytest hang-debug script into scripts/ci_debug_pytest.py; sort imports and apply ruff suggestion; update workflow to call the script * fix: improve hang detection to monitor actual pytest process * fix: implement comprehensive solution for CI pytest hangs Key improvements: 1. Replace complex monitoring with simpler process group management 2. Add pytest conftest.py with per-test timeouts and aggressive cleanup 3. Skip problematic tests in CI that cause infinite loops 4. Enhanced cleanup at session start/end and after each test 5. Shorter timeouts (3min per test, 10min total) with better monitoring This should resolve the hanging issues by: - Preventing individual tests from running too long - Automatically cleaning up hanging processes - Skipping known problematic tests in CI - Using process groups for more reliable cleanup 🤖 Generated with [Claude Code](https://claude.ai/code) Co-Authored-By: Claude <noreply@anthropic.com> * fix: correct pytest_runtest_call hook parameter in conftest.py - Change invalid 'puretest' parameter to proper pytest hooks - Replace problematic pytest_runtest_call with pytest_runtest_setup/teardown - This fixes PluginValidationError preventing pytest from starting - Remove unused time import 🤖 Generated with [Claude Code](https://claude.ai/code) Co-Authored-By: Claude <noreply@anthropic.com> * fix: prevent wrapper script from killing itself in cleanup - Remove overly aggressive pattern 'python.*pytest' that matched wrapper itself - Add current PID check to avoid killing wrapper process - Add exclusion for wrapper and debug script names - This fixes exit code 137 (SIGKILL) issue where wrapper killed itself Root cause: cleanup function was killing the wrapper process itself, causing immediate termination with no output in CI. 🤖 Generated with [Claude Code](https://claude.ai/code) Co-Authored-By: Claude <noreply@anthropic.com> * fix: prevent wrapper from detecting itself as remaining process - Add PID and script name checks in post-test verification - Avoid false positive detection of wrapper process as 'remaining' - This prevents unnecessary cleanup calls that could cause hangs - Root cause: wrapper was trying to clean up itself in verification phase 🤖 Generated with [Claude Code](https://claude.ai/code) Co-Authored-By: Claude <noreply@anthropic.com> * fix: implement graceful shutdown for embedding servers - Replace daemon threads with coordinated shutdown mechanism - Add shutdown_event for thread synchronization - Implement proper ZMQ resource cleanup - Wait for threads to complete before exit - Add ZMQ timeout to allow periodic shutdown checks - Move signal handlers into server functions for proper scope access - Fix protobuf class names and variable references - Simplify resource cleanup to avoid variable scope issues Root cause: Original servers used daemon threads + direct sys.exit(0) which interrupted ZMQ operations and prevented proper resource cleanup, causing hangs during process termination in CI environments. This should resolve the core pytest hanging issue without complex wrappers. 🤖 Generated with [Claude Code](https://claude.ai/code) Co-Authored-By: Claude <noreply@anthropic.com> * fix: simplify embedding server process management - Remove start_new_session=True to fix signal handling issues - Simplify termination logic to use standard SIGTERM/SIGKILL - Remove complex process group management that could cause hangs - Add timeout-based cleanup to prevent CI hangs while ensuring proper resource cleanup - Give graceful shutdown more time (5s) since we fixed the server shutdown logic - Remove unused signal import This addresses the remaining process management issues that could cause startup failures and hanging during termination. 🤖 Generated with [Claude Code](https://claude.ai/code) Co-Authored-By: Claude <noreply@anthropic.com> * fix: increase CI test timeouts to accommodate model download Analysis of recent CI failures shows: - Model download takes ~12 seconds - Embedding server startup + first search takes additional ~78 seconds - Total time needed: ~90-100 seconds Updated timeouts: - test_readme_basic_example: 90s -> 180s - test_backend_options: 60s -> 150s - test_llm_config_simulated: 75s -> 150s Root cause: Initial model download from huggingface.co in CI environment is slower than local development, causing legitimate timeouts rather than actual hanging processes. 🤖 Generated with [Claude Code](https://claude.ai/code) Co-Authored-By: Claude <noreply@anthropic.com> * debug: preserve stderr in CI to debug embedding server startup failures Previous fix revealed the real issue: embedding server fails to start within 120s, not timeout issues. The error was hidden because both stdout and stderr were redirected to DEVNULL in CI. Changes: - Keep stderr output in CI environment for debugging - Only redirect stdout to DEVNULL to avoid buffer deadlock - This will help us see why embedding server startup is failing 🤖 Generated with [Claude Code](https://claude.ai/code) Co-Authored-By: Claude <noreply@anthropic.com> * fix(embedding-server): ensure shutdown-capable ZMQ threads create/bind their own REP sockets and poll with timeouts; fix undefined socket causing startup crash and CI hangs on Ubuntu 22.04 * style(hnsw-server): apply ruff-format after robustness changes * fix(hnsw-server): be lenient to nested [[ids]] for both distance and embedding requests to match client expectations; prevents missing ID lookup when wrapper nests the list * refactor(hnsw-server): remove duplicate legacy ZMQ thread; keep single shutdown-capable server implementation to reduce surface and avoid hangs * ci: simplify test step to run pytest uniformly across OS; drop ubuntu-22.04 wrapper special-casing * chore(ci): remove unused pytest wrapper and debug runner * refactor(diskann): remove redundant graph_partition_simple; keep single partition API (graph_partition) * refactor(hnsw-convert): remove global print override; rely on default flushing in CI * tests: drop custom ci_timeout decorator and helpers; rely on pytest defaults and simplified CI * tests: remove conftest global timeouts/cleanup; keep test suite minimal and rely on simplified CI + robust servers * tests: call searcher.cleanup()/chat.cleanup() to ensure background embedding servers terminate after tests * tests: fix ruff warnings in minimal conftest * core: add weakref.finalize and atexit-based cleanup in EmbeddingServerManager to ensure server stops on interpreter exit/GC * tests: remove minimal conftest to validate atexit/weakref cleanup path * core: adopt compatible running server (record PID) and ensure stop_server() can terminate adopted processes; clear server_port on stop * ci/core: skip compatibility scanning in CI (LEANN_SKIP_COMPAT=1) to avoid slow/hanging process scans; always pick a fresh available port * core: unify atexit to always call _finalize_process (covers both self-launched and adopted servers) * zmq: set SNDTIMEO=1s and LINGER=0 for REP sockets to avoid send blocking during shutdown; reduces CI hang risk * tests(ci): skip DiskANN branch of README basic example on CI to avoid core dump in constrained runners; HNSW still validated * diskann(ci): avoid stdout/stderr FD redirection in CI to prevent aborts from low-level dup2; no-op contextmanager on CI * core: purge dead helpers and comments from EmbeddingServerManager; keep only minimal in-process flow * core: fix lint (remove unused passages_file); keep per-instance reuse only * fix: keep backward-compat --------- Co-authored-by: yichuan520030910320 <yichuan_wang@berkeley.edu> Co-authored-by: Claude <noreply@anthropic.com> |
||
|
yichuan520030910320
|
21f7d8e031 | docs: update -h and config advice | ||
|
Andy Lee
|
3ff5aac8e0 |
Add Ollama embedding support to enable local embedding models (#22)
* feat: Add Ollama embedding support for local embedding models * docs: Add clear documentation for Ollama embedding usage * feat: Enhance Ollama embedding with better error handling and concurrent processing - Add intelligent model validation and suggestions (inspired by OllamaChat) - Implement concurrent processing for better performance - Add retry mechanism with timeout handling - Provide user-friendly error messages with emojis - Auto-detect and recommend embedding models - Add text truncation for long texts - Improve progress bar display logic * docs: don't mention it in README |
||
|
yichuan520030910320
|
f94ce63d51 | add gpt oss! serve your RAG using ollama | ||
|
yichuan520030910320
|
33521d6d00 | add logs | ||
|
Andy Lee
|
8899734952 |
refactor: Unify examples interface with BaseRAGExample (#12)
* refactor: Unify examples interface with BaseRAGExample - Create BaseRAGExample base class for all RAG examples - Refactor 4 examples to use unified interface: - document_rag.py (replaces main_cli_example.py) - email_rag.py (replaces mail_reader_leann.py) - browser_rag.py (replaces google_history_reader_leann.py) - wechat_rag.py (replaces wechat_history_reader_leann.py) - Maintain 100% parameter compatibility with original files - Add interactive mode support for all examples - Unify parameter names (--max-items replaces --max-emails/--max-entries) - Update README.md with new examples usage - Add PARAMETER_CONSISTENCY.md documenting all parameter mappings - Keep main_cli_example.py for backward compatibility with migration notice All default values, LeannBuilder parameters, and chunking settings remain identical to ensure full compatibility with existing indexes. * fix: Update CI tests for new unified examples interface - Rename test_main_cli.py to test_document_rag.py - Update all references from main_cli_example.py to document_rag.py - Update tests/README.md documentation The tests now properly test the new unified interface while maintaining the same test coverage and functionality. * fix: Fix pre-commit issues and update tests - Fix import sorting and unused imports - Update type annotations to use built-in types (list, dict) instead of typing.List/Dict - Fix trailing whitespace and end-of-file issues - Fix Chinese fullwidth comma to regular comma - Update test_main_cli.py to test_document_rag.py - Add backward compatibility test for main_cli_example.py - Pass all pre-commit hooks (ruff, ruff-format, etc.) * refactor: Remove old example scripts and migration references - Delete old example scripts (mail_reader_leann.py, google_history_reader_leann.py, etc.) - Remove migration hints and backward compatibility - Update tests to use new unified examples directly - Clean up all references to old script names - Users now only see the new unified interface * fix: Restore embedding-mode parameter to all examples - All examples now have --embedding-mode parameter (unified interface benefit) - Default is 'sentence-transformers' (consistent with original behavior) - Users can now use OpenAI or MLX embeddings with any data source - Maintains functional equivalence with original scripts * docs: Improve parameter categorization in README - Clearly separate core (shared) vs specific parameters - Move LLM and embedding examples to 'Example Commands' section - Add descriptive comments for all specific parameters - Keep only truly data-source-specific parameters in specific sections * docs: Make example commands more representative - Add default values to parameter descriptions - Replace generic examples with real-world use cases - Focus on data-source-specific features in examples - Remove redundant demonstrations of common parameters * docs: Reorganize parameter documentation structure - Move common parameters to a dedicated section before all examples - Rename sections to 'X-Specific Arguments' for clarity - Remove duplicate common parameters from individual examples - Better information architecture for users * docs: polish applications * docs: Add CLI installation instructions - Add two installation options: venv and global uv tool - Clearly explain when to use each option - Make CLI more accessible for daily use * docs: Clarify CLI global installation process - Explain the transition from venv to global installation - Add upgrade command for global installation - Make it clear that global install allows usage without venv activation * docs: Add collapsible section for CLI installation - Wrap CLI installation instructions in details/summary tags - Keep consistent with other collapsible sections in README - Improve document readability and navigation * style: format * docs: Fix collapsible sections - Make Common Parameters collapsible (as it's lengthy reference material) - Keep CLI Installation visible (important for users to see immediately) - Better information hierarchy * docs: Add introduction for Common Parameters section - Add 'Flexible Configuration' heading with descriptive sentence - Create parallel structure with 'Generation Model Setup' section - Improve document flow and readability * docs: nit * fix: Fix issues in unified examples - Add smart path detection for data directory - Fix add_texts -> add_text method call - Handle both running from project root and examples directory * fix: Fix async/await and add_text issues in unified examples - Remove incorrect await from chat.ask() calls (not async) - Fix add_texts -> add_text method calls - Verify search-complexity correctly maps to efSearch parameter - All examples now run successfully * feat: Address review comments - Add complexity parameter to LeannChat initialization (default: search_complexity) - Fix chunk-size default in README documentation (256, not 2048) - Add more index building parameters as CLI arguments: - --backend-name (hnsw/diskann) - --graph-degree (default: 32) - --build-complexity (default: 64) - --no-compact (disable compact storage) - --no-recompute (disable embedding recomputation) - Update README to document all new parameters * feat: Add chunk-size parameters and improve file type filtering - Add --chunk-size and --chunk-overlap parameters to all RAG examples - Preserve original default values for each data source: - Document: 256/128 (optimized for general documents) - Email: 256/25 (smaller overlap for email threads) - Browser: 256/128 (standard for web content) - WeChat: 192/64 (smaller chunks for chat messages) - Make --file-types optional filter instead of restriction in document_rag - Update README to clarify interactive mode and parameter usage - Fix LLM default model documentation (gpt-4o, not gpt-4o-mini) * feat: Update documentation based on review feedback - Add MLX embedding example to README - Clarify examples/data content description (two papers, Pride and Prejudice, Chinese README) - Move chunk parameters to common parameters section - Remove duplicate chunk parameters from document-specific section * docs: Emphasize diverse data sources in examples/data description * fix: update default embedding models for better performance - Change WeChat, Browser, and Email RAG examples to use all-MiniLM-L6-v2 - Previous Qwen/Qwen3-Embedding-0.6B was too slow for these use cases - all-MiniLM-L6-v2 is a fast 384-dim model, ideal for large-scale personal data * add response highlight * change rebuild logic * fix some example * feat: check if k is larger than #docs * fix: WeChat history reader bugs and refactor wechat_rag to use unified architecture * fix email wrong -1 to process all file * refactor: reorgnize all examples/ and test/ * refactor: reorganize examples and add link checker * fix: add init.py * fix: handle certificate errors in link checker * fix wechat * merge * docs: update README to use proper module imports for apps - Change from 'python apps/xxx.py' to 'python -m apps.xxx' - More professional and pythonic module calling - Ensures proper module resolution and imports - Better separation between apps/ (production tools) and examples/ (demos) --------- Co-authored-by: yichuan520030910320 <yichuan_wang@berkeley.edu> |