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author | Gustaf Rydholm <gustaf.rydholm@gmail.com> | 2024-04-05 00:23:40 +0200 |
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committer | Gustaf Rydholm <gustaf.rydholm@gmail.com> | 2024-04-05 00:23:40 +0200 |
commit | 31771b141b77d825f83c46ce901b36397ac88d6e (patch) | |
tree | 045f0aff95ff79fd01a7ebc4dd1b9d35e32d3d34 | |
parent | 02d3363858cc52bb308cc342e55530a61280ab52 (diff) |
Update README
-rw-r--r-- | README.md | 10 |
1 files changed, 9 insertions, 1 deletions
@@ -75,20 +75,28 @@ print(I[:5]) # neighbors of the 5 first queries print(I[-5:]) # neighbors of the 5 last queries ``` -I need to figure out the vector dim of the mxbai model. +I need to figure out the vector dim of the mxbai model. -> 1024 4. Use Postgres as a persisted kv-store Save index of chunk as key and value as paragraph. 5. Create user input pipeline + 5.1 Create search prompt for document retrieval + 5.2 Fetch nearest neighbors as context + 5.3 Retrieve the values from the document db + 5.4 Add paragraphs as context to the query + 5.5 Send query to LLM + 5.6 Return output + 5.7 .... + 5.8 Profit ### Frontend (Low priority) |