Repository navigation
Releases: mi2arun/contextpull
Releases · mi2arun/contextpull
Release list
contextpull 0.2.1
contextpull 0.2.0
Added
- Office ingest: docx, xlsx, pptx with the standard library (Word heading styles, lists and tables; Excel sheets as pipe tables; PowerPoint slides as sections).
- PDF ingest through the
pdfextra, headings inferred from font size. - Hybrid search:
ingest --embed-modelstores per-section vectors;search(mode="hybrid")fuses lexical and dense by reciprocal rank. - Streamable HTTP transport:
serve --transport http. - Go SDK (
sdk/go): store-native reader and single static server binary, stdio and HTTP, 100% conformance. - TypeScript SDK on npm as
contextpull: store-native reader and server. contextpull.eval: ragbisect adapters for the direct-API tool loop and Claude Code headless, with strict and surfaced-ids variants.- Scenario test layer: a six-format corpus, ten complex use-case tests, a 27-case scenario conformance suite run by Python, Node and Go, and a live agent scenario runner.
- Embedding guide with an access-control example;
claude-mdcommand;CONTEXTPULL_EVAL_DEBUGtracing. - Benchmarks on two corpora under
benchmarks/, including the retraction of the first agentic rows.
Fixed
- Eval adapter used one SQLite connection across threads; every tool call failed and the failure was fed to the model as tool output. Runs whose tool calls all fail are now marked as errors and never cached.
- Fence info strings with attributes broke code-block detection.
-and.as token characters made--no-cacheand sentence-final words unsearchable; indexed columns are normalised.- Grep pre-filtered with the word index and could not find substrings inside tokens.
- Index budget enforced in every mode; compact mode added between flat and hierarchical.
- Sectioner: word-boundary splitting, headings always followed by content, merges re-pack and cannot loop.
Changed
- Default index budget 3,000 tokens.
searchruns three passes: phrase, all words, any word.
contextpull 0.1.0
First release. Pull, don't push: an always-in-context index plus five tools (index, search, read, grep, neighbours) that return exact document sections on demand, for Claude Code, any MCP host, or your own client.
- Zero-dependency Python core over SQLite + FTS5; heading-aware sections with stable ids; incremental ingest; flat/compact/hierarchical index under a token budget
- MCP server (
pip install "contextpull[mcp]"): stdio and streamable HTTP; index delivered via server instructions, tool and resource - PDF ingest (
[pdf]extra), optional embeddings with hybrid search, model-written summaries - Node package
contextpullon npm: store-native reader and MCP server, identical results to Python (23/23 conformance) - ragbisect adapters that put the agentic loop in the same benchmark table as bm25, dense and hybrid; first results in
benchmarks/
PyPI: https://pypi.org/project/contextpull/0.1.0/ · npm: https://www.npmjs.com/package/contextpull/v/0.1.0